Time Optimization for Traffic Signal Control Using Genetic Algorithm

Lecturer in Computer Sc. & Engg. deptt, Amity School of Engg. & Tech, New Delhi, India; Amity School of Engg. & Tech, Lecturer in Instrumentation &Control Engg. deptt, New Delhi, India; Amity School of Engg. & Tech, Student of Computer Sc. & Engg. deptt, New Delhi, India
LETTERS International Journal of Recent Trends in Engineering 12/2009; 2.

ABSTRACT In this paper, a "real-time" traffic signal control strategy is provided using genetic algorithms to provide near-optimal traffic performance for intersections. Real-time traffic signal control is an integral part of the urban traffic control system and providing effective real-time traffic signal control for a large complex traffic network is an extremely challenging distributed control problem. The developed "intelligent" system makes "real-time" decisions as to whether to extend green time for a set of signals. The model is developed using genetic algorithm implemented in MATLAB. A traffic emulator is developed in JAVA to represent dynamic traffic conditions. The emulator conducts surveillance after fixed interval of time and sends the data to genetic algorithm, which then provides optimum green time extensions and optimizes signal timings in real time. The optimization parameters are -total number of vehicles in a road and importance of the road in the intersection. In the end, by comparing the experimental result obtained by the fixed time and real time based traffic systems which improves significant performance for intersections, we confirmed the efficiency of our intelligent real time based control system.

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    ABSTRACT: In this paper, an intelligent traffic light that controls the flow of traffic was introduced. The proposed system detects the level of congestion and the abnormal situations in two main highways and four intersections. The system collects the data and the information from a video imaging system, which captures and interprets images to detect, and count of the vehicles This data will be sent to another system based on genetic algorithm. This system makes a real time decision that determines the interval of green light time for each traffic light at each intersection. This system is simulated theoretically and the results indicate the efficiency of the system. We suggest other inputs from VANET techniques and Mobile track system, which can be added to the system, to improve its output.  Index Terms— Intelligent traffic ligh; Genetic algorith; VANET; and Video image detection system.

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May 21, 2014