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 light, genetic algorithm, VANET, and video image detection system.

Cite: Suhail M. Odeh, "Management of An Intelligent Traffic Light System by Using Genetic Algorithm," Journal of Image and Graphics, Vol. 1, No. 2, pp. 90-93, June 2013. doi: 10.12720/joig.1.2.90-93