Adaptive Traffic Control System
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The document discusses adaptive traffic control systems (ATCS). ATCS automatically adjust traffic light timings based on real-time traffic conditions to maximize traffic flow and reduce congestion. Sensors collect traffic data which is analyzed to determine vehicle clusters and improve signal timings. Current ATCS use intelligent computing methods and are being implemented in various cities to detect congestion, synchronize lights, update timings and speeds in real-time, reducing traffic. Future areas of development include emergency vehicle detection, signalless networks, and dynamic routing guidance.
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Adaptive Traffic Control Systems Overview
Systems engineering documents like concept of operations, system requirements, verification, and validation plans provide a structure for agencies to assess whether adaptive traffic control systems can address their issues. Adaptive systems aim to minimize delays and stops by adjusting cycle lengths, splits, offsets, and other parameters in real-time based on detected traffic. Studies show adaptive systems reduce delays, especially at higher congestion levels, though benefits depend on the location. Common adaptive systems include SCATS, SCOOT, RHODES, and InSync, which vary in their algorithms and architectures. High-resolution performance measures from detectors can evaluate system performance. Agencies should use adaptive selectively where appropriate and evaluate outcomes.
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This document discusses adaptive traffic control systems (ATCS) which are intelligent systems that continuously detect traffic volumes and dynamically adjust signal timings in real-time to reduce delays and queues. ATCS collect data using sensors like cameras and RFID, analyze traffic patterns, and select optimal signal timing plans. The goal is to minimize wait times at intersections and avoid collisions by allowing traffic to flow progressively through coordinated green lights along routes.
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This document contains information from a traffic study conducted on a road connecting various departments at a university. The study found that:
1) The 85th percentile speed on the road was higher than the posted speed limit of 25 kmph, especially in the straight section in front of the Biotechnology department.
2) Bicycles made up the majority of vehicles on the road, with generally low traffic during the day.
3) Speed breakers were not fully effective in reducing speeds to the limit, and adding another breaker in front of the Biotechnology department was recommended.
INTELLIGENT TRANSPORT SYSTEM (ITS)
Why it’s Needed?
Traffic congestion-insufficient road development-growing number of vehicles.
Low speed, increased accident rates, increased fuel consumption, and increased pollution.
Impossible to build enough new roads or to meet the demand.
These explore the concepts that treat highway systems and the vehicles that use them as integrated system. Among them is the concept of Intelligent Transportation Systems.
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Rapidly growing economy.
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Rising vehicle ownership levels.
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I T S ARCHITECTURE
· Framework for planning, defining, and integrating intelligent transportation systems.
Benefits of Architecture
Reduces time and resources required to integrate the technologies to local needs
Helps identify agencies and jurisdictions & seeks their participation
COMMUNICATION SYSTEMS
Effective and efficient operation of transit systems relies on a communications infrastructure and vehicle-based communications technologies.
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FLEET MANAGEMENT AND OPERATIONS
These includes separate technologies often are combined in various software packages, which allow for the integration of many different transit functions.
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APPLICATIONS OF I T S
ELECTRONIC TOLL COLLECTION(E T C)
GLOBAL POSITIONING SYSTEM(G P S)
ADVANCED TRAVELLER INFORMATION SYSTEM(ATIS)
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Improved safety
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Better travel information
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Difficult to use in mixed traffic
Preliminary difficulties in understanding
ITS equipments costly
The control system software could be hacked by hackers
www.wikipedia.com
www.answers.com
www.howstuffworks.com
www.tech-faq.com
www.thetravelinsider.info
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Spot speed studies involve measuring the speeds of individual vehicles passing a specific location on a roadway. This provides speed distribution data that can be used for traffic planning and safety purposes. There are both manual and automatic methods for collecting spot speed data. Manual methods involve using a stopwatch to time vehicles over a short known distance. Automatic methods include using road detectors, radar guns, or cameras to directly measure vehicle speeds. The collected speed data is typically presented through tables and graphs showing the frequency distribution and cumulative frequency of observed speeds. This allows calculations of speed percentiles and other metrics.
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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
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Transit Signal Priority
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Among the recent advancements in car safety technologies, the adaptive cruise control feature is one of the most important and useful. It greatly minimizes the pressure of the driver as it helps to control the speed of the car and maintains a safe distance from other cars to avoid a crash. But still, this adaptive control should not be used in bad weather conditions and in tunnels as they might not work efficiently. So, if you want to know all about the adaptive cruise control system in your car, then give some time to watch the following slide show.
intelligent transportation system
transportation is the back bone of countries economical development. providing good and effective transportation facility will help in developing countries economy. transportation will save time, money, and work can be done easily. intelligent transportation system provides more benefits to the nation.
Spot speed study
This document contains information from a traffic study conducted on a road connecting various departments at a university. The study found that:
1) The 85th percentile speed on the road was higher than the posted speed limit of 25 kmph, especially in the straight section in front of the Biotechnology department.
2) Bicycles made up the majority of vehicles on the road, with generally low traffic during the day.
3) Speed breakers were not fully effective in reducing speeds to the limit, and adding another breaker in front of the Biotechnology department was recommended.
INTELLIGENT TRANSPORT SYSTEM (ITS)
Why it’s Needed?
Traffic congestion-insufficient road development-growing number of vehicles.
Low speed, increased accident rates, increased fuel consumption, and increased pollution.
Impossible to build enough new roads or to meet the demand.
These explore the concepts that treat highway systems and the vehicles that use them as integrated system. Among them is the concept of Intelligent Transportation Systems.
The goal of I T S is to improve the transportation system to make it more efficient and safer by use of information, communications and control technologies.
India is going through a period of drastic change in the transportation area due to:
Rapidly growing economy.
Insufficient and inadequate public transportation system.
Rising vehicle ownership levels.
ITS PARTS
I T S ARCHITECTURE
· Framework for planning, defining, and integrating intelligent transportation systems.
Benefits of Architecture
Reduces time and resources required to integrate the technologies to local needs
Helps identify agencies and jurisdictions & seeks their participation
COMMUNICATION SYSTEMS
Effective and efficient operation of transit systems relies on a communications infrastructure and vehicle-based communications technologies.
Communications systems are used to transmit voice and data between transit vehicles and operation centers, and to transmit commands between operators and technologies.
Transit communications systems are comprised mostly of wireless technologies and applications.
FLEET MANAGEMENT AND OPERATIONS
These includes separate technologies often are combined in various software packages, which allow for the integration of many different transit functions.
GIS allows transit agencies to accurately track where demand is located in their service area.
APPLICATIONS OF I T S
ELECTRONIC TOLL COLLECTION(E T C)
GLOBAL POSITIONING SYSTEM(G P S)
ADVANCED TRAVELLER INFORMATION SYSTEM(ATIS)
IN-VEHICLE TRANSIT INFORMATION SYSTEM
AUTOMATIC PASSENGER COUNTER
ADVANTAGES OF I T S
Improved safety
Better traffic flow
Lower travel cost
Better environmental quality
Increased business activity
Greater user acceptance
Better travel information
Better planning information
DISADVANTAGES OF I T S
Difficult to use in mixed traffic
Preliminary difficulties in understanding
ITS equipments costly
The control system software could be hacked by hackers
www.wikipedia.com
www.answers.com
www.howstuffworks.com
www.tech-faq.com
www.thetravelinsider.info
http://www.itsoverview.its.dot.
http://www.transport systems.com
http://www.mountain-plains.org
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Intelligent Transportation System (ITS) uses information and communication technologies to improve transportation safety, mobility, and efficiency. ITS applications include traffic management, emergency response, electronic toll collection, and vehicle-to-vehicle communication. Key technologies enabling ITS are vehicular ad hoc networks (VANETs), which allow vehicles to communicate, and wireless sensor networks (WSNs), which can monitor road conditions. Open research challenges include reliable communication in dense traffic and leveraging cloud computing with VANETs and vehicle resources.
ADVANCED TRAVELLER INFORMATION SYSTEM
Advanced Traveler Information Systems (ATIS) provide real-time traffic and navigation information to drivers. It uses sensors and cameras to monitor traffic conditions and congestion. This data is then transmitted to drivers via signs, radio, GPS, and other displays to inform them of delays, accidents, construction, and alternate routes. Implementing ATIS requires high initial costs but can help reduce traffic, provide safety warnings, and improve road conditions once established.
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This document provides information about a study conducted on the Mevad Toll Plaza located on the Mehsana-Ahmedabad Highway in Gujarat, India. The study involved collecting classified volume count data, service time data for different vehicle types, and conducting a user survey. The data was analyzed to determine peak traffic hours and the average service times. It was found that the average service time at the manual toll plaza was around 25 seconds per vehicle, much higher than the 4-5 seconds per vehicle achieved at electronic toll collection plazas. The results of the study can be used to identify opportunities to reduce congestion and delays at the toll plaza.
Spot speed studies.ppt .mylan nejyar
Spot speed studies involve measuring the speeds of individual vehicles passing a specific location on a roadway. This provides speed distribution data that can be used for traffic planning and safety purposes. There are both manual and automatic methods for collecting spot speed data. Manual methods involve using a stopwatch to time vehicles over a short known distance. Automatic methods include using road detectors, radar guns, or cameras to directly measure vehicle speeds. The collected speed data is typically presented through tables and graphs showing the frequency distribution and cumulative frequency of observed speeds. This allows calculations of speed percentiles and other metrics.
Automatic Toll Collection
This presentation for use in automatic toll collection system project and we can use for RFID based toll collection system.
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Traffic light signals regulate traffic flow at intersections through different colored lights and timed phases. They aim to improve safety by organizing conflicting traffic streams and increase junction capacity. A signal cycle consists of phases allotted to traffic movements, with intervals for changing lights. Sensors detect vehicle presence and adjust timings. Manual design methods calculate optimal cycle lengths and phase timings based on traffic volumes and pedestrian clearance needs to minimize delays.
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Describe the main characteristics of the Sydney Coordinated
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making a comparison between three large cities that use
this system and detailing the advantages and
disadvantages of this system in each city that used it.
A Brief review to the intelligent controllerswhich used to control trafficflow
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This document presents a multi-level convolutional neural network (mCNN) framework for real-time vehicle counting and classification in complex traffic scenes. The mCNN framework includes five main modules: pre-processing, object detection, tracking, object classification, and quantification. In the pre-processing stage, images are cropped to remove irrelevant details. A CNN is then used for initial object detection and pre-classification. Detected objects are tracked across frames and a second CNN is used for refined classification before vehicle counts are generated. The mCNN framework is tested on 585 minutes of highway video and achieves an average vehicle counting accuracy of 97.53% and weighted average counting with classification accuracy of 91.5%, demonstrating its effectiveness for real-time
The its application in railways
The document discusses the use of intelligent transportation systems (ITS) in railways. ITS uses technologies like sensors, cameras and communication systems to improve safety, efficiency and reliability of transportation networks. In railways, ITS is used for applications like track quality monitoring, vehicle identification, wheel defect detection, noise reduction, vehicle maintenance and incident prevention. Some examples of ITS discussed are variable monitoring systems, train telecommunication systems, train control and supervision systems, and passenger information systems. The goals of ITS in railways include higher speeds, higher reliability, increased capacity, improved safety and reduced maintenance costs.
ITS development in Kajang city
ITS is the system defined as the electronics, advanced technology, communications or information processing used singly or integrated to enhance safety, mobility, and the economic vitality of the surface transportation system. The Intelligent Transport Systems (ITS) makes automobiles and the road traffic infrastructure intellectual and information-oriented in an integrated way to provide a safe and comfortable traffic system.
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
This document describes an intelligent 4-way traffic control system that uses a PLC and SCADA. It aims to automatically calculate vehicle densities in each lane and prioritize traffic lights accordingly. Sensors measure traffic density data which is sent to the PLC. The PLC program then controls light durations based on density levels to minimize waiting times. This dynamic system aims to more efficiently direct traffic flow compared to conventional fixed-time control systems.
C0961318
This document summarizes an academic paper about using a partially observable Markov decision process to improve handoff latency in an automatic train control system that uses wireless local area networks with multiple-input multiple-output technologies. The objective is to reduce handoff decision time by considering channel estimation errors and balancing multiplexing gain versus diversity gain. It also provides background on train control systems, noting their evolution from mechanical to electromechanical to computer-based systems using wayside communication to determine train locations and ensure safe movement between tracks.
PROPOSED KAJANG URBAN TRAFFIC MANAGEMENT SYSTEM PRESENTATION
Done by :
1-ALAA.H.MOUSA P 71081
2-MOHANAD JAAFAR TALIB P 71085
3-WAEL SAAD HAMEEDI P 71062
ITS presentation final
The document proposes an intelligent urban traffic control system for Kajang, Malaysia to address traffic congestion issues. It analyzes 4 intersections experiencing long queues and delays during peak hours. Data collection and traffic surveys were conducted to determine optimum cycle times, green splits, and offsets. A proposed advanced traffic management system is described using sensors, variable message signs, and centralized control to monitor traffic flow, detect incidents, and disseminate real-time information to drivers. Upgrading existing controllers with new technologies and coordination is recommended to optimize traffic flow in Kajang.
Real time path planning based on hybrid vanet enhanced transportation system
This document proposes a real-time path planning algorithm based on a hybrid vehicular ad-hoc network (VANET) and public transportation system. It establishes a communication framework to enable information sharing between vehicles and infrastructure. The algorithm aims to improve road network usage and reduce average vehicle travel costs by determining optimal paths in real-time. Simulation results show the approach better handles traffic congestion and accidents compared to no real-time path planning.
ROADART - Research On Alternative Diversity Aspects foR Trucks
EGVIA - ERTRAC 1st European Conference Results from Road Transport Research in H2020 projects
29 November 2017 to 30 November 2017
Brussels
Future of Traffic Management and ITS
In many countries, cities are expanding in terms of size, number residents and visitors, etc. The resulting increase in concentration of people, with their mobility needs, causes major traffic and transportation problems in and around our cities. Next to the economic impacts due to delay and unreliability of travel time, concerns regarding safety and security, emissions and sustainability become more and more urgent.
ITS (Intelligent Transportation Systems) hold the potential to reduce these issues. In the past decade, we have been more and more successful in making better use of the available infrastructure by using traditional ITS measures. As we will show in this talk, key to this success has been in achieving a profound understanding of what are the key phenomena that characterise network traffic flows, and designing solutions that capitalise on this.
The playing field is however rapidly changing. For one, we see a transition from road-side to in-car technology in terms of sensing and actuation. This provides great opportunities, but making best use of these is not trivial and requires a paradigm shift in the way we think about managing traffic flows where collaboration between the old stakeholders (e.g. road authorities) and the new stakeholders (e.g. companies like Google, and TomTom) becomes increasingly important. This will be illustrated in this talk by some examples showing how we can put the transition to in-car traffic management to use, both in terms of making optimal use of the new data sources and the use of the car as an actuator.
With respect to the latter, we will see that even for low penetration levels, which will occur in the transition phase towards a more highly automated traffic stream, considerable impacts can be achieved if we adequately consider the non-automated vehicles. Furthermore, it requires vehicles to be able to communicate and cooperate with each other.
These two elements are two of the five steps that was identified in the transition towards a fully automated system.
The final part of the talk will deal with the other steps that are deemed important to understand which of the scenarios in a urban self-driving future will unfold. These pertain to the interaction between man and machine, the need and willingness to invest in separate infrastructure in city, and whether automated car can co-exist with other (active) travel modes. With respect to the latter, we will also consider what ITS can mean for the other modes of travel.
PROPOSED KAJANG URBAN TRAFFIC MANAGEMENT SYSTEM.
This document proposes an intelligent urban traffic control system for Kajang, Malaysia to address traffic congestion issues. It identifies four intersections experiencing congestion during peak hours. Data was collected through traffic surveys and analyzed to determine optimal cycle times, green splits, and offsets. A proposed solution involves upgrading the existing traffic control system with an advanced traffic management system incorporating sensors, variable message signs, and centralized monitoring and control to optimize traffic flows.
Presentation ATM
This document summarizes Aidin Massahi's dissertation proposal on using multi-resolution modeling to assess active traffic management strategies on urban streets. The proposal discusses using dynamic traffic assignment simulation models at different levels of resolution (macroscopic, mesoscopic, microscopic) to evaluate strategies like adaptive ramp metering, variable speed limits, and dynamic lane control. The goals are to develop methods to assess impacts on performance measures like mobility, reliability, safety and emissions, and to demonstrate the methods on a real-world case study. The literature review covers previous uses of multi-resolution modeling and different traffic simulation packages to analyze active traffic management.
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A Brief review to the intelligent controllerswhich used to control trafficflow
A Brief review to the intelligent controllerswhich used to control trafficflow
IRJET- Image Processing based Intelligent Traffic Control and Monitoring ...
IRJET- Image Processing based Intelligent Traffic Control and Monitoring ...
Design of intelligent traffic light controller using gsm & embedded system
Design of intelligent traffic light controller using gsm & embedded system
Real time vehicle counting in complex scene for traffic flow estimation using...
Real time vehicle counting in complex scene for traffic flow estimation using...
CBTC Communications Based Train Control conference March 12th 2014
CBTC Communications Based Train Control conference March 12th 2014
Real time vehicle counting in complex scene for traffic flow estimation using...
Real time vehicle counting in complex scene for traffic flow estimation using...
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
IRJET-Intellectual 4way Traffic Control System using PLC and SCADA
PROPOSED KAJANG URBAN TRAFFIC MANAGEMENT SYSTEM PRESENTATION
PROPOSED KAJANG URBAN TRAFFIC MANAGEMENT SYSTEM PRESENTATION
Real time path planning based on hybrid vanet enhanced transportation system
Real time path planning based on hybrid vanet enhanced transportation system
ROADART - Research On Alternative Diversity Aspects foR Trucks
ROADART - Research On Alternative Diversity Aspects foR Trucks
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Black Soldier Fly Larvae Treatement
The document discusses using black soldier fly larvae (BSFL) to treat organic waste in Kathmandu Valley. It outlines the BSFL life cycle and rearing process, as well as the potential BSFL treatment process involving waste segregation, shredding, feeding larvae, and product harvesting. The larvae and its byproducts could be used as fish feed, chicken feed, or organic manure. While BSFL treatment has benefits like multiple byproducts and low startup costs, challenges include maintaining quality and scaling operations requires further study. Small municipalities may be suitable for initial implementations to contribute to circular economies and sustainability goals.
Conflict and Dispute
Presentation on Conflict and Dispute that may arise in various engineering projects with relevant examples and possible solution strategies.
Presented as a assignment for final year civil engineering subject 'Engineering Professional Practice'
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Presentation on Mechanical properties of materials and various materials used in civil and mechanical engineering.
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Detailed Presentation on 'Finishing Works' in building construction technology.
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This is a brief presentation on traffic rules violation in Nepal. It encompasses current scenario, causes, consequences and possible solution measures regarding this problem in Nepalese context.
It had been presented at Pulchowk Campus, IOE as an assignment project for the subject 'Transportation Planning & Engineering' during final year of undergraduate stud y in Civil Engineering.
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artificial intelligence and data science contents.pptx
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
cnn.pptx Convolutional neural network used for image classication
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Null Bangalore | Pentesters Approach to AWS IAM
#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/)
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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AND CLASSIFICATION USING
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学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
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原版一模一样【微信：741003700 】【美国密歇根州立大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原件一模一样【微信：bwp0011】《(Humboldt毕业证书)柏林大学毕业证学位证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
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一.毕业证【微bwp0011】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
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◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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Adaptive Traffic Control System
- 1. ADAPTIVE TRAFFIC CONTROL SYSTEM Nelson Kandel BCE 3rd year Pulchowk Campus
- 4. • supervision of the movement of people, goods, or vehicles to ensure efficiency and safety. INCLUDES FOLLOWING ASPECTS: • road design and marking • barriers or channelizers • signs • signals Traffic Control System https://play-lh.googleusercontent.com/emzYfny8_fEnhPqEQ slXw9XMOVsXU_KjkBFewXI7BV3FuNEs-WJN4sxQocB6YTVpxcQ 1
- 5. Adaptive Traffic Control System (ATCS) 2
- 6. • automatically adapts the timings of traffic lights based on real-time traffic conditions • allows signals to interact with each other • maximize vehicular movement and reduce congestion Adaptive Traffic Control System (ATCS) 2 https://www.efftronics.com/imgv2/smart-cities/smart- transport/atcs/atcs-solution.png
- 7. How does ATCS Work? 3
- 8. • use of cameras/ sensors to acquire traffic data • raw data processed to determine the vehicular clusters • data evaluated to improve signal timings at a particular junction. How does ATCS Work? 3
- 10. • The comprehensive index method considers the delay, the number of stops, and the length of queues to obtain the best overall efficiency of the network. Present Development Status 4 METHODS BASED ON MATHEMATICAL MODEL
- 11. • The comprehensive index method considers the delay, the number of stops, and the length of queues to obtain the best overall efficiency of the network. • The green wave band method is designed to maximize the number of nonstop platoons of the main line. Present Development Status 4 METHODS BASED ON MATHEMATICAL MODEL
- 12. • Fuzzy Logic • Genetic Algorithms and Ant Colony Optimization • Artificial Neural Network (ANN) • Reinforcement Learning Control Present Development Status 5 METHODS BASED ON INTELLIGENT COMPUTING
- 13. Present Development Status 6 ATCS IS ACTIVELY USED IN FOLLOWING PLACES: • Smart City of Gandhinagar, India • Washington DC, District of Colombia, USA • Smart Traffic in Kent, USA https://www.efftronics.com/adaptive-traffic-control-system
- 14. Advantages over conventional practices 7
- 15. • Detecting congestion. • Synchronizing activity between traffic lights. • Updating traffic light timing in real time. • Updating and informing drivers of ideal speeds. • Reduce congestion and time spent on the road. Advantages over conventional practices 7
- 16. Future Scopes of ATCS 8
- 17. • Emergency Vehicle Detection • Signalless Road Network • Automatic Fining • Dynamic Route Guidance Future Scopes of ATCS 8
- 18. • ATCS is exciting as well as rewarding topic to be adapted. • It is a multidisciplinary topic. • It may help a lot in regulating traffic in developing countries. • Development of this technology is never ending anytime soon. Conclusion: 9
- 19. • [1] Robertson, D. I. (1969). TRANSYT: a traffic network study tool. • [2] Bell, Michael G.H. (1992). Future directions in traffic signal control. Transportation Research Part A: Policy and Practice.. • [3] N. H. Gartner and C. Stamatiadis. (2002). Arterial-based control of traffic flow in urban grid networks, Mathematical and Computer Modelling, vol. 35. • [4] Pham, V. C., Alam, F., Potgieter, J., Fang, F. C., & Xu, W. L. (2013). Integrated fuzzy signal and ramp-metering at a diamond interchange. Journal of Advanced Transportation, vol. 47 • [5] Yizhe Wang, Xiaoguang Yang, Hailun Liang, Yangdong Liu. (2018). A Review of the Self-Adaptive Traffic Signal Control System Based on Future Traffic Environment, Journal of Advanced Transportation, vol. 2018 • [6] Hoogendoorn, S. P., Knoop, V. L., & van Zuylen, H. J. (2008). Robust control of traffic networks under uncertain conditions. Journal of advanced transportation, 42(3). • [7] Zlatkovic, M., & Zhou, X. (2015). Integration of signal timing estimation model and dynamic traffic assignment in feedback loops: system design and case study. Journal of Advanced Transportation, 49(6). References 10