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.
Vehicle Detection using Camera
Vehicle Detection Using Cameras for Self-Driving Cars |
Using machine learning and computer vision I create a pipeline that detects nearby vehicles from a dash-cam.
Vehicle detection by using rear parts and tracking systemeSAT Journals
Abstract Vision of Indian government; of making 100 smart cities, attracts our attention to intelligent transport system. Traffic flow analysis is a part of intelligent transport system. It mainly contains three parts: vehicle detection, classification and vehicle tracking par t. Recently, there are different detection and tracking methods like computer vision based, magnetic frequency wave based etc. With the rapid development of computer vision techniques, visual detection has become increasingly popular in the transportation field. In urban traffic video monitoring systems, traffic congestion is a common scene that causes vehicle occlusion and is a challenge for current vehicle detection methods.In practical traffic scenarios, occlusion between vehicles often occurs; therefore, it is unreasonable to treat the vehicle as a whole. To overcome this problem we can use part based detection model. In our system the vehicle is treated as an object composed of multiple salient parts, including the license plate and rear lamps. These parts are localized using their distinctive color, texture, and region feature. Furthermore, the detected parts are treated as graph nodes to construct a probabilistic graph using a Markov random field model. After that, the marginal posterior of each part is inferred using loopy belief propagation to get final vehicle detection. Finally, the vehicles’ trajectories are estimated using a Kalman filter and a tracking-based detection technique is realized. This method we can use in daytime as well as night time and in any bad weather condition. Keywords vehicle detection, kalman filter, Markov model, tracking, rear lamps
Traffic signal control management based on integrating GIS and WSN technologykrushna kotgire
This project is based on Geographic Information System (GIS). traffic signal can be controlled by using this method . We can avoid traffic jam, alternative path for user is genrated , no emergency vehicle is stuck in traffic.
A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Inter...ijtsrd
In this paper, a two stage fuzzy logic system has been proposed to control an isolated intersection adaptively. The aim of this work is to minimize the average waiting time for a different traffic flow rates in real time means. In the first stage, the system consists of two modules named next phase selection module and the green phase extension module. In the second stage the system consists of the decision named module. The study was performed using SUMO traffic simulator. A comparison is made between a fuzzy logic controller and a conventional fixed time controller. As a result, fuzzy logic controller has shown better performance. Taha Mahmood | Muzamil Eltejani Mohammed Ali | Akif Durdu ""A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator"" 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/ijtsrd23873.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23873/a-two-stage-fuzzy-logic-adaptive-traffic-signal-control-for-an-isolated-intersection-based-on-real-data-using-sumo-simulator/taha-mahmood
Vehicle Speed Estimation using Haar Classifier Algorithmijtsrd
An efficient traffic management system is needed in all kinds of roads, such as off roads, highways, etc... Though several laws and speed controller has been attached to the vehicles, Speed limit may vary from road to road. Still Traffic management system faces different kinds of challenges everyday and its being a research area though number of proposals has been identified. Many numbers of methods has been proposed in computer Vision and machine learning approaches for object tracking. In this paper vehicles are identified and detected using a videos that taken from surveillance camera. The objective of the present work is to identification of the vehicles is done by using Computer vision technique and detection of vehicles using Haar cascade classifier. Detecting the vehicles using machine learning and estimating speed is tough but beneficial task. For the past few tears Convolution Neural Network CNN has been widely used in computer vision for vehicle detection and identification. This method manages to track multiple objects at real time using dlibs. P. Devi Mahalakshmi | Dr. M. Babu "Vehicle Speed Estimation using Haar Classifier Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29482.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29482/vehicle-speed-estimation-using-haar-classifier-algorithm/p-devi-mahalakshmi
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...IJSRD
During recent years traffic congestion is become a serious problem in almost all cities. Due to the high density of traffic, pedestrians find it difficult to cross the road. Even though several advanced strategic plans are introduced to regulate the traffic but due to lack of provision for on- road pedestrian crossing, rate of accidents become very high. One such provision is given is elevated path for pedestrian to cross the road, but the elderly person finds it difficult to use that. Hence an idea is proposed to help the elderly people by giving provision for on- road pedestrian crossing in high density traffic areas like near schools, hospitals, markets, etc. which reduces the accidents rate also. To implement this, here an additional time delay is introduced in the traffic signal for pedestrian crossing in addition to vehicle crossing in all possible direction. Additionally, provision is given to track the vehicle which violates the traffic rules and to clear the traffic for emergency vehicles. All the above said three parameters can be simulated by using PROTEUS software.
A Brief review to the intelligent controllerswhich used to control trafficflowjournal ijrtem
Abstract: Nowadays, with the social progress and economic development, the transport is playing a pivotal role in cities. The main problem is the traffic jams due to vehicle congestion phenomena at intersection. To solve this problem an intelligent traffic control system that continuously sensing and monitoring traffic conditions and adjusting the timing of traffic lights according to the actual traffic load must be implemented. At present , a variety of traffic control has been designed using electrical technologies.Traffic load is highly dependent on parameters such as day-time , season weather and unpredictable situationssuch as accidents, special events or construction activities, these parameters will cause delay on the traffic flow. The traffic system in Libya is still controlled by old fashion ( i.e equally time interval signal control)and no intelligent system used to monitor and control the traffic flow. The scope of this paper is to review the main Intelligent controllerswhich used in smart traffic systems. Keywords: Traffic, Intelligent control, Programmable logic, Neural network, Fuzzy logic
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
An Electronic Road Pricing (ERP) system was introduced in 1998 in Singapore to reduce the traffic congestion in
the city area, almost all vehicles in Singapore are equipped with onboard equipment called in-vehicle unit (IU). Using
these in-vehicle units and the technologies based on the ERP system, Mitsubishi Heavy Industries, Ltd. (MHI) has
developed an Electronic Parking System (EPS) that enables settlement of parking fees without parking tickets and
cash. In order to keep the compatibilities of current car park system, antennas were made smaller and compact,
processing systems were integrated and devices for calculating the fees were developed, the device for calculating the
fee was called charging unit (CHU). In order to meet the various needs of the car park owners and to allow free
setting of the parking fee, the devices are designed. The introduction of EPS in Singapore has brought about an
unprecedented realization of the application using the same onboard equipment in both EPS and ERP systems (application
fields).
Vehicle Detection using Camera
Vehicle Detection Using Cameras for Self-Driving Cars |
Using machine learning and computer vision I create a pipeline that detects nearby vehicles from a dash-cam.
Vehicle detection by using rear parts and tracking systemeSAT Journals
Abstract Vision of Indian government; of making 100 smart cities, attracts our attention to intelligent transport system. Traffic flow analysis is a part of intelligent transport system. It mainly contains three parts: vehicle detection, classification and vehicle tracking par t. Recently, there are different detection and tracking methods like computer vision based, magnetic frequency wave based etc. With the rapid development of computer vision techniques, visual detection has become increasingly popular in the transportation field. In urban traffic video monitoring systems, traffic congestion is a common scene that causes vehicle occlusion and is a challenge for current vehicle detection methods.In practical traffic scenarios, occlusion between vehicles often occurs; therefore, it is unreasonable to treat the vehicle as a whole. To overcome this problem we can use part based detection model. In our system the vehicle is treated as an object composed of multiple salient parts, including the license plate and rear lamps. These parts are localized using their distinctive color, texture, and region feature. Furthermore, the detected parts are treated as graph nodes to construct a probabilistic graph using a Markov random field model. After that, the marginal posterior of each part is inferred using loopy belief propagation to get final vehicle detection. Finally, the vehicles’ trajectories are estimated using a Kalman filter and a tracking-based detection technique is realized. This method we can use in daytime as well as night time and in any bad weather condition. Keywords vehicle detection, kalman filter, Markov model, tracking, rear lamps
Traffic signal control management based on integrating GIS and WSN technologykrushna kotgire
This project is based on Geographic Information System (GIS). traffic signal can be controlled by using this method . We can avoid traffic jam, alternative path for user is genrated , no emergency vehicle is stuck in traffic.
A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Inter...ijtsrd
In this paper, a two stage fuzzy logic system has been proposed to control an isolated intersection adaptively. The aim of this work is to minimize the average waiting time for a different traffic flow rates in real time means. In the first stage, the system consists of two modules named next phase selection module and the green phase extension module. In the second stage the system consists of the decision named module. The study was performed using SUMO traffic simulator. A comparison is made between a fuzzy logic controller and a conventional fixed time controller. As a result, fuzzy logic controller has shown better performance. Taha Mahmood | Muzamil Eltejani Mohammed Ali | Akif Durdu ""A two Stage Fuzzy Logic Adaptive Traffic Signal Control for an Isolated Intersection Based on Real Data using SUMO Simulator"" 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/ijtsrd23873.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/23873/a-two-stage-fuzzy-logic-adaptive-traffic-signal-control-for-an-isolated-intersection-based-on-real-data-using-sumo-simulator/taha-mahmood
Vehicle Speed Estimation using Haar Classifier Algorithmijtsrd
An efficient traffic management system is needed in all kinds of roads, such as off roads, highways, etc... Though several laws and speed controller has been attached to the vehicles, Speed limit may vary from road to road. Still Traffic management system faces different kinds of challenges everyday and its being a research area though number of proposals has been identified. Many numbers of methods has been proposed in computer Vision and machine learning approaches for object tracking. In this paper vehicles are identified and detected using a videos that taken from surveillance camera. The objective of the present work is to identification of the vehicles is done by using Computer vision technique and detection of vehicles using Haar cascade classifier. Detecting the vehicles using machine learning and estimating speed is tough but beneficial task. For the past few tears Convolution Neural Network CNN has been widely used in computer vision for vehicle detection and identification. This method manages to track multiple objects at real time using dlibs. P. Devi Mahalakshmi | Dr. M. Babu "Vehicle Speed Estimation using Haar Classifier Algorithm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29482.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/29482/vehicle-speed-estimation-using-haar-classifier-algorithm/p-devi-mahalakshmi
Online Accessable Traffic Control System for Urban Areas Using Embedded Syste...IJSRD
During recent years traffic congestion is become a serious problem in almost all cities. Due to the high density of traffic, pedestrians find it difficult to cross the road. Even though several advanced strategic plans are introduced to regulate the traffic but due to lack of provision for on- road pedestrian crossing, rate of accidents become very high. One such provision is given is elevated path for pedestrian to cross the road, but the elderly person finds it difficult to use that. Hence an idea is proposed to help the elderly people by giving provision for on- road pedestrian crossing in high density traffic areas like near schools, hospitals, markets, etc. which reduces the accidents rate also. To implement this, here an additional time delay is introduced in the traffic signal for pedestrian crossing in addition to vehicle crossing in all possible direction. Additionally, provision is given to track the vehicle which violates the traffic rules and to clear the traffic for emergency vehicles. All the above said three parameters can be simulated by using PROTEUS software.
A Brief review to the intelligent controllerswhich used to control trafficflowjournal ijrtem
Abstract: Nowadays, with the social progress and economic development, the transport is playing a pivotal role in cities. The main problem is the traffic jams due to vehicle congestion phenomena at intersection. To solve this problem an intelligent traffic control system that continuously sensing and monitoring traffic conditions and adjusting the timing of traffic lights according to the actual traffic load must be implemented. At present , a variety of traffic control has been designed using electrical technologies.Traffic load is highly dependent on parameters such as day-time , season weather and unpredictable situationssuch as accidents, special events or construction activities, these parameters will cause delay on the traffic flow. The traffic system in Libya is still controlled by old fashion ( i.e equally time interval signal control)and no intelligent system used to monitor and control the traffic flow. The scope of this paper is to review the main Intelligent controllerswhich used in smart traffic systems. Keywords: Traffic, Intelligent control, Programmable logic, Neural network, Fuzzy logic
This presentation highlights the application of "5-Phase Project Management" implemented by Weiss and Wysocki, towards an automated traffic control system.
An Electronic Road Pricing (ERP) system was introduced in 1998 in Singapore to reduce the traffic congestion in
the city area, almost all vehicles in Singapore are equipped with onboard equipment called in-vehicle unit (IU). Using
these in-vehicle units and the technologies based on the ERP system, Mitsubishi Heavy Industries, Ltd. (MHI) has
developed an Electronic Parking System (EPS) that enables settlement of parking fees without parking tickets and
cash. In order to keep the compatibilities of current car park system, antennas were made smaller and compact,
processing systems were integrated and devices for calculating the fees were developed, the device for calculating the
fee was called charging unit (CHU). In order to meet the various needs of the car park owners and to allow free
setting of the parking fee, the devices are designed. The introduction of EPS in Singapore has brought about an
unprecedented realization of the application using the same onboard equipment in both EPS and ERP systems (application
fields).
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.