Traffic Signal Planning Using a Smart Agent System

Abstract

The multi-agent systems approach can provide a new desirable solution to the problems of traffic congestion and traffic accidents. Currently, a traffic simulator is needed to understand and explore the difficulties in agent-oriented traffic control. Therefore, in this paper, we propose an electro-sensitive traffic light using a smart agent algorithm to reduce traffic congestion and traffic accidents. Specifically, we designed and implemented a system to create optimum traffic signals in congested conditions using smart agent algorithms. In order to solve these problems, our approach antecedently creates an optimal traffic cycle of passenger car units at the bottom traffic intersection. Mistakes are possible due to different car lengths, car speeds, and the length of the intersection. Therefore, our approach consequently reduces car waiting time and start-up delay time using fuzzy control of feedback data. Urban traffic situations are extremely complex and highly interactive. The proposed method adaptively controls the cycle of traffic signals even though the traffic volume varies. The effectiveness of this method was shown through the simulation of multiple intersections.