This document describes a proposed automatic traffic control system based on vehicular density. The system uses infrared sensors placed along roads to detect the number of vehicles passing through each lane. This information is sent to a microcontroller which then determines which lane has the highest traffic density and assigns a longer green light period to that lane dynamically. The goal is to optimize traffic flow compared to traditional fixed-time traffic lights. The system architecture includes infrared sensors connected to an Arduino microcontroller board, which controls traffic lights and displays information on an LCD screen. Simulation results show the microcontroller directing green lights based on detected vehicle buildup in different lanes. This proposed system aims to reduce traffic congestion by adapting signal times based on real-time traffic conditions
This document describes a proposed traffic congestion control system using embedded systems and wireless sensor networks. The system would use sensors to monitor traffic density on roads and at intersections in real-time. A microcontroller would analyze the sensor data and dynamically adjust traffic light timing based on traffic conditions. The system would also provide priority to emergency vehicles by overriding the traffic light sequence to give them a green light upon detection. This would help reduce traffic congestion and delays for emergency vehicles responding to calls.
IRJET - Traffic Signal Automation using Spike Road BlockIRJET Journal
This document describes a system to automate traffic signals and road blockers using spikes on the road. The system uses sensors to detect vehicle speed and traffic density. It then dynamically controls the timing of traffic signals based on this sensor data. When the signal is red, a barrier gate closes and spikes emerge on the road to block traffic and enforce the signal. The system is intended to reduce traffic violations and minimize accidents. It collects sensor data, retrieves nearby police locations from a database, and can generate alerts if needed. The system aims to help control traffic flow and reduce congestion problems.
Conscience: A Solution for Pollution ControlIRJET Journal
This document proposes CONSCIENCE, an autonomous pollution monitoring system that detects and records vehicle emissions. Sensors would measure emissions and send data to a central database via a controller and web interface. The database would store emission levels and vehicle details. If a vehicle exceeds preset emission limits, the competent authority and vehicle owner would be notified via a mobile app. The authority could then levy appropriate charges by deducting funds from the owner's bank account. The system aims to regularly monitor vehicles and promote well-maintained vehicles to reduce pollution.
Traffic Monitoring and Control System Using IoTijtsrd
This research aims to monitor the traffic condition and to control the traffic light. This system can reduce not only traffic congestion but also waiting time. This system is designed to be implemented in places nearing the junctions. This research is based on the effective use of Internet of Things IoT . This system will display the traffic conditions in the website and the traffic light can be controlled from this website. This system has been implemented by using esp8266, ultrasonic sensor and arduino. Esp8266 nodemcu which is IoT device is used to transmit the traffic information to the website which is connected with this device. Ultrasonic sensors are placed on each road to sense the presence and absence of vehicles. Traffic information is received from these sensors. Traffic light prototype is built by using an arduino UNO. This traffic light can be controlled from the website. The system will display the traffic states in the website that can guide the drivers to select the right way and avoid traffic congestions. Ei Swe Zin | Kyaw Zin Latt ""Traffic Monitoring and Control System Using IoT"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25138.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25138/traffic-monitoring-and-control-system-using-iot/ei-swe-zin
IRJET- Density based Traffic Controller with Defaulter Identification using IoTIRJET Journal
This document describes a density-based traffic controller system that uses IoT to adjust traffic light timing based on traffic density detected by IR sensors, and identify vehicles that run red lights. The system uses Arduino and NodeMCU with IR sensors to detect traffic density and adjust the green light time from 3 to 6 seconds during heavy traffic. When a vehicle runs a red light, an IR sensor triggers a camera connected to NodeMCU to capture an image of the vehicle's license plate, which is sent to a monitoring device and displayed on a webpage along with date and time of the violation. The goal is to reduce traffic congestion by dynamically adjusting light timing based on real-time traffic conditions, and identify vehicles that violate red lights
Traffic Clearance for Emergency Vehicles Using Priority ModeIRJET Journal
This document describes a system to provide priority traffic control for emergency vehicles using a "blue mode." The system uses image processing to detect an ambulance 1 km from an intersection. If detected, a signal is sent to switch the traffic lights from normal mode to blue mode for 30 seconds. In normal mode, IR sensors monitor traffic density and extend green lights accordingly. The goal is to help ambulances reach the hospital more quickly in an automated way. Future enhancements could include additional cameras at intersections and using more advanced technologies like XBee or GSM for wireless communication over longer distances.
Traffic and Admission Clearance for Patient on Ambulance journal ijrtem
This document describes a system to clear traffic and facilitate hospital admission for ambulance patients. It uses RFID and IoT technologies. An RFID card on the ambulance communicates with traffic lights to turn them green. An Android app alerts nearby hospitals of incoming patients for admission clearance. This allows ambulances to bypass traffic and patients to select a hospital, reducing delays. The system was tested using NodeMCU, RFID readers, LED lights and an MQTT server for communication. It provides live-saving benefits and could integrate real hospital locations and routing information in the future.
IRJET- Intelligence Transportation System based on IoTIRJET Journal
This document describes an intelligent transportation system that detects vehicle accidents and notifies emergency services. It uses sensors in vehicles to detect accidents and send location information via GSM to ambulances and a server. An Android app allows ambulance drivers to control traffic lights to pass through more efficiently on their way to the accident site. Temperature sensors update patient condition to a hospital webpage. The system aims to reduce emergency response times, which can save lives when injuries occur in accidents. It presents the system architecture and algorithm for automatic accident detection and notification to provide faster emergency assistance.
This document describes a proposed traffic congestion control system using embedded systems and wireless sensor networks. The system would use sensors to monitor traffic density on roads and at intersections in real-time. A microcontroller would analyze the sensor data and dynamically adjust traffic light timing based on traffic conditions. The system would also provide priority to emergency vehicles by overriding the traffic light sequence to give them a green light upon detection. This would help reduce traffic congestion and delays for emergency vehicles responding to calls.
IRJET - Traffic Signal Automation using Spike Road BlockIRJET Journal
This document describes a system to automate traffic signals and road blockers using spikes on the road. The system uses sensors to detect vehicle speed and traffic density. It then dynamically controls the timing of traffic signals based on this sensor data. When the signal is red, a barrier gate closes and spikes emerge on the road to block traffic and enforce the signal. The system is intended to reduce traffic violations and minimize accidents. It collects sensor data, retrieves nearby police locations from a database, and can generate alerts if needed. The system aims to help control traffic flow and reduce congestion problems.
Conscience: A Solution for Pollution ControlIRJET Journal
This document proposes CONSCIENCE, an autonomous pollution monitoring system that detects and records vehicle emissions. Sensors would measure emissions and send data to a central database via a controller and web interface. The database would store emission levels and vehicle details. If a vehicle exceeds preset emission limits, the competent authority and vehicle owner would be notified via a mobile app. The authority could then levy appropriate charges by deducting funds from the owner's bank account. The system aims to regularly monitor vehicles and promote well-maintained vehicles to reduce pollution.
Traffic Monitoring and Control System Using IoTijtsrd
This research aims to monitor the traffic condition and to control the traffic light. This system can reduce not only traffic congestion but also waiting time. This system is designed to be implemented in places nearing the junctions. This research is based on the effective use of Internet of Things IoT . This system will display the traffic conditions in the website and the traffic light can be controlled from this website. This system has been implemented by using esp8266, ultrasonic sensor and arduino. Esp8266 nodemcu which is IoT device is used to transmit the traffic information to the website which is connected with this device. Ultrasonic sensors are placed on each road to sense the presence and absence of vehicles. Traffic information is received from these sensors. Traffic light prototype is built by using an arduino UNO. This traffic light can be controlled from the website. The system will display the traffic states in the website that can guide the drivers to select the right way and avoid traffic congestions. Ei Swe Zin | Kyaw Zin Latt ""Traffic Monitoring and Control System Using IoT"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25138.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25138/traffic-monitoring-and-control-system-using-iot/ei-swe-zin
IRJET- Density based Traffic Controller with Defaulter Identification using IoTIRJET Journal
This document describes a density-based traffic controller system that uses IoT to adjust traffic light timing based on traffic density detected by IR sensors, and identify vehicles that run red lights. The system uses Arduino and NodeMCU with IR sensors to detect traffic density and adjust the green light time from 3 to 6 seconds during heavy traffic. When a vehicle runs a red light, an IR sensor triggers a camera connected to NodeMCU to capture an image of the vehicle's license plate, which is sent to a monitoring device and displayed on a webpage along with date and time of the violation. The goal is to reduce traffic congestion by dynamically adjusting light timing based on real-time traffic conditions, and identify vehicles that violate red lights
Traffic Clearance for Emergency Vehicles Using Priority ModeIRJET Journal
This document describes a system to provide priority traffic control for emergency vehicles using a "blue mode." The system uses image processing to detect an ambulance 1 km from an intersection. If detected, a signal is sent to switch the traffic lights from normal mode to blue mode for 30 seconds. In normal mode, IR sensors monitor traffic density and extend green lights accordingly. The goal is to help ambulances reach the hospital more quickly in an automated way. Future enhancements could include additional cameras at intersections and using more advanced technologies like XBee or GSM for wireless communication over longer distances.
Traffic and Admission Clearance for Patient on Ambulance journal ijrtem
This document describes a system to clear traffic and facilitate hospital admission for ambulance patients. It uses RFID and IoT technologies. An RFID card on the ambulance communicates with traffic lights to turn them green. An Android app alerts nearby hospitals of incoming patients for admission clearance. This allows ambulances to bypass traffic and patients to select a hospital, reducing delays. The system was tested using NodeMCU, RFID readers, LED lights and an MQTT server for communication. It provides live-saving benefits and could integrate real hospital locations and routing information in the future.
IRJET- Intelligence Transportation System based on IoTIRJET Journal
This document describes an intelligent transportation system that detects vehicle accidents and notifies emergency services. It uses sensors in vehicles to detect accidents and send location information via GSM to ambulances and a server. An Android app allows ambulance drivers to control traffic lights to pass through more efficiently on their way to the accident site. Temperature sensors update patient condition to a hospital webpage. The system aims to reduce emergency response times, which can save lives when injuries occur in accidents. It presents the system architecture and algorithm for automatic accident detection and notification to provide faster emergency assistance.
IRJET- Automatic Vehicle Accident Detection and Messaging SystemIRJET Journal
This document describes an automatic vehicle accident detection and messaging system. The system uses an ATmega328P microcontroller connected to sensors like an accelerometer, GPS module, and GSM module. It also includes features like a camera, LCD display, and push button. In the event of an accident, the accelerometer detects abrupt movement and the microcontroller sends an alert message with time and location data using the GSM module. This information helps with crash analysis and investigation. The system provides vehicle diagnostics and navigation on an LCD display. It aims to improve road safety by detecting accidents and sending alerts to emergency services.
A smart traffic management is a wide topic of research. Many modifications can be made to make the urban traffic flow smoothly on the roads. The increasing utilization of private vehicles and public transportation due to advancement of technology causes hectic traffic complexities for the civilians across the globe. The problem of traffic congestion is an everyday problem for human resource and therefore hinders the growth of the country by affecting its productivity as well as economy. Moreover, the traffic signaling systems have predetermined fixed operational time which fails to manage the traffic density changing with time and thus, long traffic queues are formed at the road crossings resulting in increased pollution and waiting time. In this paper, we tried to provide solution to reduce the waiting time at road crossings while keeping in mind the importance of time of the citizens as well as the emergency service providers (such as EMS i.e. Emergency Medical Services, Fire and Rescue Services, etc.). The presented system in this paper is based on smart traffic congestion control system that will automatically set the signal time based on the measured values of vehicle density on road lanes. However, the manual changes can also be made to traffic signals for efficient traffic management in case of emergencies. This paper presents an idea of traffic management using internet of things (IOT). The Internet of Things (IoT) refers to a system of internet-connected objects that are able to collect and transfer data over a wireless network without human intervention. This technology provides an effective communication between different signals and helps in collection of data thereby providing an IoT based smart traffic management system in terms of its automated tracking, monitoring and controlling of vehicles and its data processing.
This document summarizes a smart traffic monitoring system project. The system uses CCTV camera feeds to analyze traffic and collect statistical data. It can detect objects like vehicles and their speeds. The data is stored in a cloud-based database. The system sends real-time alerts upon detecting certain objects or conditions. It also allows triggering actions. The project aims to provide traffic insights and analytics to help with planning and decision making. It uses open source technologies like operating systems, databases, and programming languages to build the backend and frontend. The system is tested to meet objectives like real-time alerting and generating data-driven reports.
Intelligent traffic regulation system for roads using car two way communicationeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
IRJET - Density based Traffic Management SystemIRJET Journal
This document describes a density based traffic management system that uses infrared sensors to detect vehicle counts on roads and adjusts traffic light timing accordingly. The system aims to reduce traffic congestion and unnecessary wait times that occur with fixed-time traffic lights. Infrared sensors are placed along roads every 5 meters and can detect the presence of vehicles passing by. The detected vehicle distances on each road are used to determine traffic density and allocate longer green light times to more congested roads dynamically. The system is controlled using an Arduino mega microcontroller. It analyzes sensor input to adjust traffic signals based on real-time traffic conditions to improve traffic flow compared to conventional fixed-timing traffic lights.
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
Traffic Density Control and Accident Indicator Using WSNIJMTST Journal
Now a day’s many of the things get controlled automatically. Everything is getting controlled using the mechanical or the automated systems. In every field machines are doing the human works. But still some area is controlled manually. For example traffic controls, road control, parking controlling. Keeping these things in mind we are trying to develop the project to automate the traffic tracking for the square. To make any project more useful and acceptable by any organization we need to provide multiple features in a single project. Keeping these things in consideration proposed system is less with multiple methodologies which can be used in traffic control system It is important to know the road traffic density real time especially in mega cities for signal control and effective traffic management. In recent years, video monitoring and surveillance systems have been widely used in traffic management. Hence, traffic density estimation and vehicle classification can be achieved using video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types passing these roads. This paper presents emergency vehicle alert and traffic density calculation methods using IR and GPS
This document is a project report submitted by 8 students at Government Polytechnic Pune for the academic year 2015-2016. The report proposes a density based dynamic traffic signal control system to help reduce traffic congestion in Pune city. It involves using IR sensors across roads to monitor traffic density and feed that data to a microcontroller like Raspberry Pi to adjust signal timings accordingly. The report includes an introduction, causes of congestion in Pune, traffic studies conducted at Simla Office Square, proposed system design, and conclusions.
Portable wireless traffic light system (pwtls)eSAT Journals
Abstract
A Portable Wireless Traffic Light System using a microcontroller and wireless ZigBee is the best system to control the traffic flow
during the road construction or maintenance. This traffic light is designed to solve the various type of hazard which may happen to
the worker, flagman and also road users during the road construction. The communication between these two traffic lights is via
wireless. Due to this it can be deployed anywhere because no wire is used. This system is equipped with the safety purpose where it is
equipped with motion and infrared sensor to detect and count the number of vehicles to avoid any collision. This automated system
can be used 24-hours in various weather conditions. This eliminate the limited working hours when using the flagman. This system is
a low cost system where it uses microcontroller to control the system.
Keywords—Portable Wireless Traffic Light, PIC Microcontroller, flagman
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IRJET- Automatic Vehicle Beam Control SystemIRJET Journal
This document describes an automatic vehicle beam control system that aims to prevent accidents at night. It uses a light sensor mounted on a vehicle that detects incoming light from other vehicles. When light is detected, the sensor sends a signal via an Arduino microcontroller and RF module to lower the beams of the incoming vehicle for a set time, usually 2 seconds. This system is meant to address the driver safety issue of reduced visibility caused by oncoming headlights shining in a driver's face. It provides an accurate and reliable way to automatically detect and respond to incoming vehicle lights through sensor technology and wireless communication between vehicles.
IRJET- Automatic Insurance Telematics for Four WheelersIRJET Journal
This document summarizes an automatic insurance telematics system for four-wheelers that uses various sensors to monitor a driver's behavior and provide more accurate insurance premiums. The proposed system uses a microcontroller, LCD display, RPM sensor, CO sensor, alcohol sensor, accelerometer, seat belt sensor, and WiFi module. Data from these sensors - including speed, braking force, seatbelt use, and alcohol levels - would be sent wirelessly via the WiFi module. This data could then be used to calculate insurance premiums based on the driver's actual risk profile and driving habits rather than just accident history. The goal is to make vehicle insurance more transparent by directly tying premium costs to measured driving behavior.
A PROPOSED MODEL FOR TRAFFIC SIGNAL PREEMPTION USING GLOBAL POSITIONING SYSTE...csandit
This document proposes a model for traffic signal preemption using GPS to assist emergency vehicles. The model uses an Android app on emergency vehicles to transmit GPS coordinates to a central web server. An Arduino microcontroller with Ethernet shield installed at each intersection receives preemption commands from the server to change traffic signals accordingly, helping emergency vehicles pass through intersections more quickly. The proposed system offers advantages over existing acoustic, line-of-sight, and radio-based systems in terms of cost, accuracy, and security against illegal preemption triggering.
The document proposes a smart monitoring system for automobiles using IoT. It uses sensors connected to an Arduino board to monitor various vehicle components. The Arduino feeds sensor readings to a Raspberry Pi gateway and then to a server via Ethernet. If readings exceed thresholds, the server sends alerts to users by SMS. It also allows emergency requests if the vehicle breaks down. The service center can track vehicle status and location through a website. The system aims to promote vehicle safety and maintenance through low-cost, real-time monitoring of components.
IRJET- Automatic Vehicle Speed Controller System for Accident PreventionIRJET Journal
This document describes an automatic vehicle speed control system to prevent accidents near restricted areas like schools and hospitals. It consists of a transmitter unit placed near restricted areas that sends the speed limit to a receiver unit in vehicles. The receiver unit displays the speed limit and will automatically reduce the vehicle's speed if the driver does not do so manually within a few seconds. The system is intended to make speed limits clearer and enforce them to reduce accidents, especially near areas with many pedestrians.
Density Based Traffic System with Emergency override using BluetoothChull Productions
This document is a project report submitted by four students for their bachelor's degree. It outlines a density based traffic system with emergency override using RFID. The proposed system allocates different time slots to roads based on vehicle density to improve time management. It also provides priority traffic signal management for high density lanes and emergency vehicles. An additional feature allows pedestrians to safely cross the road based on their request. The project implements a prototype for an automatic and safer traffic signal management system based on emergency conditions.
As the rising of transportation system design, so many data logger design was developed for safety. In our country, there are
many accidents on highways. Both driver’s faults and road construction cause accidents. To reduce these condition some safety
system such as obstacle detection system, vehicle declination alarm system, temperature and smoke level display unit,
signboard warning on road sides should be used for both driver and passengers. In addition data logger system for whole
vehicle must be equipped for safety. With the implementation of PIC microcontroller as an Embedded device, this logger
design was constructed with many sensors and C# service-based database. Using Arduino boards, vehicle detection sensing
circuit, Check point radio signal sensing circuit for dangerous road sector, hall-effect magnetic wheel revolution sensing circuit
were designed to be connected with main PIC microcontroller and Personal Computer. Real time result was displayed on C#
Graphical User Interface and Vehicle data log could be easily exported to Microsoft Excel report.
Keywords -Arduino, alarm and alert system,C# service-based database, PC based control system, Vehicle data
logger.
This document describes a proposed disaster notification system that uses sensors and wireless networks to automatically notify emergency services when a car accident occurs. The system would detect accidents using an impact sensor and prevent drunk driving using an alcohol sensor. It would use GPS to get location and convert coordinates to an address to send to emergency responders. This would allow for faster emergency response when victims cannot call for help, improving survival rates. The system would also notify family members and integrate with a vehicle display map and notifications. It aims to address the problems of traffic accidents and drunk driving in Taiwan.
IRJET- IoT based Smart BLACK BOX SystemIRJET Journal
The document describes an IoT-based smart black box system for vehicles. The system uses various sensors like speed sensors, alcohol sensors, and seat belt sensors to continuously monitor vehicle parameters. If an accident occurs, sensor data is sent via IoT to a mobile app to help determine insurance claims. The system aims to improve vehicle and driver safety by predicting risks, monitoring driver behavior, and enabling remote health monitoring of vehicles. It allows for preventative maintenance and reduces costs from accidents, fines, and unnecessary repairs. The system provides real-time monitoring and alerts to improve response time to issues and enhance the customer experience.
Wireless Smart Traffic Control System based on Vehicle density in Traffic Lan...IRJET Journal
This document describes a proposed wireless smart traffic control system based on vehicle density in traffic lanes and emergency vehicle detection. The system would use infrared sensors placed along roadways to detect vehicle volumes in each lane over time. A microcontroller would receive this sensor data and prioritize which lanes receive green lights based on vehicle density, with priority given to any lanes with detected emergency vehicles. The goal is to automatically adjust traffic light timing based on real-time traffic conditions to improve flow and reduce congestion compared to traditional fixed-schedule traffic lights.
IRJET-utomatic Intelligent Traffic Control SystemIRJET Journal
This document describes an automatic intelligent traffic control system that uses sensors and wireless communication to dynamically adjust traffic light timing based on real-time traffic conditions. The system uses infrared sensors to detect vehicle passage and count traffic density on roads approaching an intersection. A microcontroller analyzes this sensor data and changes the duration of green lights accordingly. For example, if one road has heavy traffic, its green light will be extended. The system can also give priority to emergency vehicles by continuously extending a green light to let them pass through. This provides a low-cost way to optimize traffic flow and reduce congestion compared to traditional fixed-time traffic lights.
IRJET- Automatic Vehicle Accident Detection and Messaging SystemIRJET Journal
This document describes an automatic vehicle accident detection and messaging system. The system uses an ATmega328P microcontroller connected to sensors like an accelerometer, GPS module, and GSM module. It also includes features like a camera, LCD display, and push button. In the event of an accident, the accelerometer detects abrupt movement and the microcontroller sends an alert message with time and location data using the GSM module. This information helps with crash analysis and investigation. The system provides vehicle diagnostics and navigation on an LCD display. It aims to improve road safety by detecting accidents and sending alerts to emergency services.
A smart traffic management is a wide topic of research. Many modifications can be made to make the urban traffic flow smoothly on the roads. The increasing utilization of private vehicles and public transportation due to advancement of technology causes hectic traffic complexities for the civilians across the globe. The problem of traffic congestion is an everyday problem for human resource and therefore hinders the growth of the country by affecting its productivity as well as economy. Moreover, the traffic signaling systems have predetermined fixed operational time which fails to manage the traffic density changing with time and thus, long traffic queues are formed at the road crossings resulting in increased pollution and waiting time. In this paper, we tried to provide solution to reduce the waiting time at road crossings while keeping in mind the importance of time of the citizens as well as the emergency service providers (such as EMS i.e. Emergency Medical Services, Fire and Rescue Services, etc.). The presented system in this paper is based on smart traffic congestion control system that will automatically set the signal time based on the measured values of vehicle density on road lanes. However, the manual changes can also be made to traffic signals for efficient traffic management in case of emergencies. This paper presents an idea of traffic management using internet of things (IOT). The Internet of Things (IoT) refers to a system of internet-connected objects that are able to collect and transfer data over a wireless network without human intervention. This technology provides an effective communication between different signals and helps in collection of data thereby providing an IoT based smart traffic management system in terms of its automated tracking, monitoring and controlling of vehicles and its data processing.
This document summarizes a smart traffic monitoring system project. The system uses CCTV camera feeds to analyze traffic and collect statistical data. It can detect objects like vehicles and their speeds. The data is stored in a cloud-based database. The system sends real-time alerts upon detecting certain objects or conditions. It also allows triggering actions. The project aims to provide traffic insights and analytics to help with planning and decision making. It uses open source technologies like operating systems, databases, and programming languages to build the backend and frontend. The system is tested to meet objectives like real-time alerting and generating data-driven reports.
Intelligent traffic regulation system for roads using car two way communicationeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
IRJET - Density based Traffic Management SystemIRJET Journal
This document describes a density based traffic management system that uses infrared sensors to detect vehicle counts on roads and adjusts traffic light timing accordingly. The system aims to reduce traffic congestion and unnecessary wait times that occur with fixed-time traffic lights. Infrared sensors are placed along roads every 5 meters and can detect the presence of vehicles passing by. The detected vehicle distances on each road are used to determine traffic density and allocate longer green light times to more congested roads dynamically. The system is controlled using an Arduino mega microcontroller. It analyzes sensor input to adjust traffic signals based on real-time traffic conditions to improve traffic flow compared to conventional fixed-timing traffic lights.
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
Traffic Density Control and Accident Indicator Using WSNIJMTST Journal
Now a day’s many of the things get controlled automatically. Everything is getting controlled using the mechanical or the automated systems. In every field machines are doing the human works. But still some area is controlled manually. For example traffic controls, road control, parking controlling. Keeping these things in mind we are trying to develop the project to automate the traffic tracking for the square. To make any project more useful and acceptable by any organization we need to provide multiple features in a single project. Keeping these things in consideration proposed system is less with multiple methodologies which can be used in traffic control system It is important to know the road traffic density real time especially in mega cities for signal control and effective traffic management. In recent years, video monitoring and surveillance systems have been widely used in traffic management. Hence, traffic density estimation and vehicle classification can be achieved using video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types passing these roads. This paper presents emergency vehicle alert and traffic density calculation methods using IR and GPS
This document is a project report submitted by 8 students at Government Polytechnic Pune for the academic year 2015-2016. The report proposes a density based dynamic traffic signal control system to help reduce traffic congestion in Pune city. It involves using IR sensors across roads to monitor traffic density and feed that data to a microcontroller like Raspberry Pi to adjust signal timings accordingly. The report includes an introduction, causes of congestion in Pune, traffic studies conducted at Simla Office Square, proposed system design, and conclusions.
Portable wireless traffic light system (pwtls)eSAT Journals
Abstract
A Portable Wireless Traffic Light System using a microcontroller and wireless ZigBee is the best system to control the traffic flow
during the road construction or maintenance. This traffic light is designed to solve the various type of hazard which may happen to
the worker, flagman and also road users during the road construction. The communication between these two traffic lights is via
wireless. Due to this it can be deployed anywhere because no wire is used. This system is equipped with the safety purpose where it is
equipped with motion and infrared sensor to detect and count the number of vehicles to avoid any collision. This automated system
can be used 24-hours in various weather conditions. This eliminate the limited working hours when using the flagman. This system is
a low cost system where it uses microcontroller to control the system.
Keywords—Portable Wireless Traffic Light, PIC Microcontroller, flagman
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
IRJET- Automatic Vehicle Beam Control SystemIRJET Journal
This document describes an automatic vehicle beam control system that aims to prevent accidents at night. It uses a light sensor mounted on a vehicle that detects incoming light from other vehicles. When light is detected, the sensor sends a signal via an Arduino microcontroller and RF module to lower the beams of the incoming vehicle for a set time, usually 2 seconds. This system is meant to address the driver safety issue of reduced visibility caused by oncoming headlights shining in a driver's face. It provides an accurate and reliable way to automatically detect and respond to incoming vehicle lights through sensor technology and wireless communication between vehicles.
IRJET- Automatic Insurance Telematics for Four WheelersIRJET Journal
This document summarizes an automatic insurance telematics system for four-wheelers that uses various sensors to monitor a driver's behavior and provide more accurate insurance premiums. The proposed system uses a microcontroller, LCD display, RPM sensor, CO sensor, alcohol sensor, accelerometer, seat belt sensor, and WiFi module. Data from these sensors - including speed, braking force, seatbelt use, and alcohol levels - would be sent wirelessly via the WiFi module. This data could then be used to calculate insurance premiums based on the driver's actual risk profile and driving habits rather than just accident history. The goal is to make vehicle insurance more transparent by directly tying premium costs to measured driving behavior.
A PROPOSED MODEL FOR TRAFFIC SIGNAL PREEMPTION USING GLOBAL POSITIONING SYSTE...csandit
This document proposes a model for traffic signal preemption using GPS to assist emergency vehicles. The model uses an Android app on emergency vehicles to transmit GPS coordinates to a central web server. An Arduino microcontroller with Ethernet shield installed at each intersection receives preemption commands from the server to change traffic signals accordingly, helping emergency vehicles pass through intersections more quickly. The proposed system offers advantages over existing acoustic, line-of-sight, and radio-based systems in terms of cost, accuracy, and security against illegal preemption triggering.
The document proposes a smart monitoring system for automobiles using IoT. It uses sensors connected to an Arduino board to monitor various vehicle components. The Arduino feeds sensor readings to a Raspberry Pi gateway and then to a server via Ethernet. If readings exceed thresholds, the server sends alerts to users by SMS. It also allows emergency requests if the vehicle breaks down. The service center can track vehicle status and location through a website. The system aims to promote vehicle safety and maintenance through low-cost, real-time monitoring of components.
IRJET- Automatic Vehicle Speed Controller System for Accident PreventionIRJET Journal
This document describes an automatic vehicle speed control system to prevent accidents near restricted areas like schools and hospitals. It consists of a transmitter unit placed near restricted areas that sends the speed limit to a receiver unit in vehicles. The receiver unit displays the speed limit and will automatically reduce the vehicle's speed if the driver does not do so manually within a few seconds. The system is intended to make speed limits clearer and enforce them to reduce accidents, especially near areas with many pedestrians.
Density Based Traffic System with Emergency override using BluetoothChull Productions
This document is a project report submitted by four students for their bachelor's degree. It outlines a density based traffic system with emergency override using RFID. The proposed system allocates different time slots to roads based on vehicle density to improve time management. It also provides priority traffic signal management for high density lanes and emergency vehicles. An additional feature allows pedestrians to safely cross the road based on their request. The project implements a prototype for an automatic and safer traffic signal management system based on emergency conditions.
As the rising of transportation system design, so many data logger design was developed for safety. In our country, there are
many accidents on highways. Both driver’s faults and road construction cause accidents. To reduce these condition some safety
system such as obstacle detection system, vehicle declination alarm system, temperature and smoke level display unit,
signboard warning on road sides should be used for both driver and passengers. In addition data logger system for whole
vehicle must be equipped for safety. With the implementation of PIC microcontroller as an Embedded device, this logger
design was constructed with many sensors and C# service-based database. Using Arduino boards, vehicle detection sensing
circuit, Check point radio signal sensing circuit for dangerous road sector, hall-effect magnetic wheel revolution sensing circuit
were designed to be connected with main PIC microcontroller and Personal Computer. Real time result was displayed on C#
Graphical User Interface and Vehicle data log could be easily exported to Microsoft Excel report.
Keywords -Arduino, alarm and alert system,C# service-based database, PC based control system, Vehicle data
logger.
This document describes a proposed disaster notification system that uses sensors and wireless networks to automatically notify emergency services when a car accident occurs. The system would detect accidents using an impact sensor and prevent drunk driving using an alcohol sensor. It would use GPS to get location and convert coordinates to an address to send to emergency responders. This would allow for faster emergency response when victims cannot call for help, improving survival rates. The system would also notify family members and integrate with a vehicle display map and notifications. It aims to address the problems of traffic accidents and drunk driving in Taiwan.
IRJET- IoT based Smart BLACK BOX SystemIRJET Journal
The document describes an IoT-based smart black box system for vehicles. The system uses various sensors like speed sensors, alcohol sensors, and seat belt sensors to continuously monitor vehicle parameters. If an accident occurs, sensor data is sent via IoT to a mobile app to help determine insurance claims. The system aims to improve vehicle and driver safety by predicting risks, monitoring driver behavior, and enabling remote health monitoring of vehicles. It allows for preventative maintenance and reduces costs from accidents, fines, and unnecessary repairs. The system provides real-time monitoring and alerts to improve response time to issues and enhance the customer experience.
Wireless Smart Traffic Control System based on Vehicle density in Traffic Lan...IRJET Journal
This document describes a proposed wireless smart traffic control system based on vehicle density in traffic lanes and emergency vehicle detection. The system would use infrared sensors placed along roadways to detect vehicle volumes in each lane over time. A microcontroller would receive this sensor data and prioritize which lanes receive green lights based on vehicle density, with priority given to any lanes with detected emergency vehicles. The goal is to automatically adjust traffic light timing based on real-time traffic conditions to improve flow and reduce congestion compared to traditional fixed-schedule traffic lights.
IRJET-utomatic Intelligent Traffic Control SystemIRJET Journal
This document describes an automatic intelligent traffic control system that uses sensors and wireless communication to dynamically adjust traffic light timing based on real-time traffic conditions. The system uses infrared sensors to detect vehicle passage and count traffic density on roads approaching an intersection. A microcontroller analyzes this sensor data and changes the duration of green lights accordingly. For example, if one road has heavy traffic, its green light will be extended. The system can also give priority to emergency vehicles by continuously extending a green light to let them pass through. This provides a low-cost way to optimize traffic flow and reduce congestion compared to traditional fixed-time traffic lights.
Tensile and Wear Property Analysis of Friction Stir processed Metal Matrix Co...IRJET Journal
This document describes an IOT-based system for automatically controlling speed bumps, road blockers, and tyre killers to manage traffic flow. The system uses RFID technology and an internet platform to monitor vehicles and activate safety devices as needed. It aims to guide emergency vehicles to their destinations quickly while preventing accidents and traffic jams. When an ambulance is detected, the proposed system would automatically lower speed bumps and deactivate road blockers to clear a path for the emergency vehicle. The system is intended to reduce human workload and traffic issues in smart cities.
IOT based Fully Automated Speed Bumps and Road Blockers for Smart CitiesIRJET Journal
This document describes an IOT-based system for automatically controlling speed bumps, road blockers, and tyre killers to manage traffic flow. The system uses RFID technology to detect vehicles, especially emergency vehicles, and adjusts traffic control mechanisms accordingly to prioritize emergency vehicles and reduce traffic congestion. When an ambulance is detected, the speed bumps flatten, road blockers open, and tyre killers retract to clear a path. The system aims to make traffic management more intelligent and efficient through automation enabled by IOT connectivity between vehicles and roadside infrastructure.
IRJET - Unmanned Traffic Signal Monitoring SystemIRJET Journal
This document describes a proposed unmanned traffic signal monitoring system that uses image processing and computer vision techniques. A camera would be installed alongside traffic lights to capture images of the road. Image processing would be used to calculate traffic density in real-time based on the images in order to dynamically switch the traffic light signals according to vehicle congestion. The system aims to reduce traffic congestion by minimizing the time green lights are on for empty roads. It would also detect ambulances using ZigBee transmission and switch all traffic lights to green to clear a path for emergency vehicles.
IRJET- Sentimental Analysis on Product using Statistical MeasuresIRJET Journal
This document describes a smart traffic flow management system using an ATmega 328 microcontroller. The system uses image processing of traffic captured by a camera to determine traffic density on each side of a movable road divider. The processed data is sent to the cloud and used to decide whether and how much to shift the road divider to proportionally allocate more space to the side with heavier traffic congestion. This is done by a motor controlled by the microcontroller via a motor driver. The system aims to reduce traffic congestion and travel times by dynamically adjusting the road lanes based on real-time traffic conditions analyzed through image processing.
This document presents an intelligent traffic management system that uses image processing and sensors to adapt traffic light timing based on current road conditions. It aims to reduce traffic congestion by minimizing delays. The system would detect vehicles, estimate speeds, and categorize days of the week to model typical traffic patterns for updating travel time estimates. This would allow the system to select the shortest routes for drivers in real-time. It could also prioritize emergency vehicles and provide traveler information. The system has potential for expansion to control traffic lights across an entire city remotely and share traffic data using radio or mobile networks.
IRJET- Smart Traffic Monitoring System using Ir Sensors based on Microcon...IRJET Journal
This document describes a smart traffic monitoring system using infrared sensors, a microcontroller, and GPS/GSM technology. The system aims to dynamically adjust traffic light timing based on detected vehicle density at intersections. Infrared sensors would detect vehicle presence and send this data to a microcontroller, which would then determine appropriate light durations. Location updates would also be sent via GSM to monitors. The system aims to reduce traffic congestion by optimizing green light times based on real-time traffic conditions instead of fixed schedules. It provides a framework to intelligently control lights and improve traffic flow.
IRJET- Automated Speed Control of AutomotivesIRJET Journal
This document describes a system for automated speed control of vehicles using RF transmitters and receivers, GPS, and collision detection sensors. The system aims to replace speed breakers and autonomously limit vehicle speed in designated safe zones. It uses RF signals to control speed when a vehicle enters an area and GPS coordinates to define speed zones. An ultrasonic sensor measures distance to detect potential collisions and triggers warnings or forced braking. The system was prototyped and tested, demonstrating redundant speed control and accurate collision detection. The goal is to reduce accidents by automatically enforcing speed limits and preventing collisions.
IRJET - IoT based Low Cost Vehicle Monitoring and Alert SystemIRJET Journal
This document describes an IOT-based low cost vehicle monitoring and alert system that was developed by students. The system uses sensors like ultrasonic, gas, and temperature sensors to monitor vehicle conditions. It also uses a crash sensor to detect accidents and store sensor data to an SD card. In the event of an accident, the system uses GSM and GPS modules to notify emergency services and share the vehicle's location. All sensor data is uploaded to the cloud for remote monitoring and control via IOT. The overall goal is to minimize road accidents by enabling quick emergency response when accidents occur.
IRJET- Time To Cross – Traffic Light Control System using Image ProcessingIRJET Journal
This document describes a proposed smart traffic light control system using image processing. The system uses cameras installed at an intersection to capture images of vehicles and pedestrians. Image processing algorithms like cascade classification and histogram of oriented gradients are used to detect vehicles and pedestrians in the images and determine traffic density. Based on the detected densities, the system adjusts the timing of the traffic lights to prioritize vehicles or pedestrians accordingly. It also notifies pedestrians of the remaining crossing time using a connected speaker. The goal is to reduce conflicts and give equal priority to both vehicles and pedestrians at intersections using real-time traffic density detection from camera images rather than sensors.
Smart vehicle and smart signboard system with zonal speed regulationIAEME Publication
To control the accident highway department have placed the signboards. Increasing number of accidents at busy junctions are a major threat faced by today’s world. Nowadays people are driving very fast; we lost our valuable life by making small mistake while driving (school zone, hills area, and highways). Most of accidents are occur due to two wheelers Speed control is required at busy junctions.
This document proposes an automatic license issuing system that uses sensors to monitor a driver's behavior during a driving test. The system aims to replace the current manual process of evaluating driving tests. Sensors like force sensors, piezo sensors, MEMS accelerometers, smoke sensors, and an LCD display are mounted on a test vehicle. The sensors collect data on the driver's control of the vehicle and emissions. This data is sent wirelessly via a ZigBee module to a remote server for analysis. The server compares the test data to reference data to evaluate the driver's performance and determine if a license should be issued. The goal is to objectively assess driving ability and prevent illegal or unsafe licenses from being issued.
IRJET - Smart Traffic Signal Monitoring & Controlling using IoTIRJET Journal
This document describes a proposed smart traffic signal monitoring and controlling system using IoT. The system would allow prioritized passage for emergency vehicles like ambulances by detecting them using RFID tags and cameras. When an ambulance is detected, the traffic signals on its route would automatically switch to green to allow smooth passage until the ambulance passes through. The system aims to help emergency vehicles avoid traffic and reach their destinations faster. It would also provide information to users through a mobile app about traffic conditions and the fastest routes.
IRJET- To Develop a Distance Algorithm using Sensor Networks for Adaptive Cru...IRJET Journal
This document describes developing a distance algorithm for adaptive cruise control systems using vehicle-to-vehicle communication and sensor networks. It involves three modes: 1) cruise control, 2) adaptive cruise control where the rear vehicle automatically adjusts its speed based on the distance to the preceding vehicle, and 3) cooperative adaptive cruise control where the rear vehicle adjusts its speed and communicates with the preceding vehicle. Ultrasonic sensors measure the distance between vehicles and different distance limits are set for the modes. The system is intended to increase road safety and efficiency by enabling vehicles to automatically control speed based on surrounding traffic conditions.
Design of intelligent traffic light controller using gsm & embedded systemYakkali Kiran
This document describes the design of an intelligent traffic light controller using an embedded system. The proposed system aims to make traffic light control more efficient by using sensor networks and embedded technology to dynamically determine light timings based on real-time traffic conditions. This allows the system to optimize traffic flow and reduce congestion compared to traditional fixed-time controllers. Key features include emergency vehicle detection and providing traffic information to drivers via GSM. The performance of the intelligent controller is evaluated against a conventional fixed-time controller based on metrics like waiting time, vehicle travel distance, and efficient emergency response.
Vehicle pollution control and traffic managementeSAT Journals
Abstract In developing countries the new emerging problem is pollution emission through vehicles. This problem is largely occurring in metro cities like Mumbai, Delhi and Pune etc. to control the pollution the monitoring system needs to develop. There are various projects on the pollution emission monitoring in various countries but due to the technological, economical differences of developed countries and developing countries these projects cannot be implemented in developing countries. Another aspect of system is cost, the cost of system should be low this can be achieve by using low cost components like ZIGBEE. In this paper a cost effective solution to monitor vehicle pollution and automatic traffic management is discussed. The problems regarding multi tagging, efficiency of on board device can be overcome by proposed system. This system provides traffic management without adding further cost. Keywords: ZIGBEE, PUC, MY SQL, SIAM and vehicle pollution monitoring.
Collision Detection System for Smart CarsIRJET Journal
This document describes a collision detection system for smart cars that uses Li-Fi (Light Fidelity) technology. It discusses how the system works, including using ultrasonic sensors to detect distance between vehicles, sensors to monitor the driver's heart rate, drowsiness, etc. and transmitting this data via an LED to a receiver in another vehicle. The goals are to help prevent accidents by warning drivers of potential collisions and reducing vehicle speed if a driver seems drowsy. It compares Li-Fi to Wi-Fi, noting advantages of Li-Fi like higher data rates, more secure transmission, and lower costs. A prototype was created using an Arduino board and sensors to demonstrate how the system would function.
Design of Smart Traffic Light Controller Using Embedded SystemIOSR Journals
This document describes a proposed design for a smart traffic light controller system using embedded technology. It aims to address issues with conventional fixed-time traffic light systems. The key features of the proposed system include using infrared sensors to dynamically adjust light intervals based on real-time vehicle counts, prioritizing emergency vehicles by turning all other lights red, and providing traffic information to drivers via SMS to help avoid congested routes. The system is intended to minimize wait times, manage traffic loads adaptively, and help emergency vehicles pass through intersections quickly. It is presented as an improvement over other approaches in the literature such as expert systems, fuzzy logic, and magneto-resistive sensor-based systems.
IRJET- A Review on Accident Prevention Methods at Railway Line CrossingsIRJET Journal
This document reviews various accident prevention methods that have been proposed for railway line crossings. It summarizes several existing systems that use technologies like sensors, GPS, image processing and more to detect trains and automatically open and close gates. However, many of these systems have limitations in noisy or harsh environments. The document concludes that while previous methods focused on gate automation, there remains a need for a system that can reliably detect an approaching train and warn humans in noisy conditions, such as when wearing headphones, to help prevent accidents caused by people not noticing trains.
Similar to IRJET- Automatic Traffic Control System based on the Vehicular Density (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
This study Examines the Effectiveness of Talent Procurement through the Imple...DharmaBanothu
In the world with high technology and fast
forward mindset recruiters are walking/showing interest
towards E-Recruitment. Present most of the HRs of
many companies are choosing E-Recruitment as the best
choice for recruitment. E-Recruitment is being done
through many online platforms like Linkedin, Naukri,
Instagram , Facebook etc. Now with high technology E-
Recruitment has gone through next level by using
Artificial Intelligence too.
Key Words : Talent Management, Talent Acquisition , E-
Recruitment , Artificial Intelligence Introduction
Effectiveness of Talent Acquisition through E-
Recruitment in this topic we will discuss about 4important
and interlinked topics which are
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.