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Adaptive Traffic Light Control in Wireless Sensor Network-based Intelligent Transportation
System
Binbin Zhou; Jiannong Cao; Xiaoqin Zeng; Hejun Wu; Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China
Presentation by: Vipul Singh(vs2416)
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Objectives:
• Proposes an Adaptive Traffic light algorithm that adjusts both the sequence and length of traffic lights in accordance with the real time traffic detected.
• Compares the results obtained with fixed-time control algorithm and also actuated control algorithm.
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Challenge
Coping with dynamic changes in the traffic volume is one of the biggest challenges in intelligent transportation system (ITS). The main contribution is the real-time adaptive control of the traffic lights. Our aim is to maximize the flow of vehicles and reduce the waiting time while maintaining fairness among the other traffic lights.
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Results:
• Higher throughput• Lower vehicle’s average waiting time
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Results: Performance Evaluation
• Simulation Done on Matlab and iSensNet.
• Compared the effectiveness of the present method with fixed-time traffic control(FTC) and actuated traffic control(ATC)
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Metrics
• Throughput to Volume• Volume-to-capacity• Average waiting time
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Results(2/3)
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Average Waiting time comparison
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Problem ModelAssumptions:• All vehicles are of the same type.• All vehicles travel at the same speed.
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Adaptive Traffic Light Control Algorithm
Outline of the approach
• Vehicle Detection• Green Light Sequence Determination• Light Length Determination
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Vehicle Detection
• Arrival Rate• Departure Rate• Density of Traffic Flow
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Green Light Sequence Determination
• Traffic Volume• Waiting Time• Blank Circumstance• Special Circumstance• Hungry Level
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Traffic Volume
• TraVol(i,t) is defined as the total number of vehicles in the lane from time t to following Tcontrol time.
• FV(i,t) is defined as the number of vehicles that would reach the intersection in time t in lane i.
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Waiting time
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Hungry Level
• The more times the case got green before, the lower hunger level it gets currently; the fewer times the case got green before the higher hunger level it gets
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Reference• Adaptive Traffic Light Control in Wireless Sensor Network-based Intelligent
Transportation System, Binbin Zhou, Jiannong Cao, Xiaoqin Zeng and Hejun Wu, Dept. of Comput., Hong Kong Polytech. Univ., Hong Kong, China.
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• Thank you
• Questions…