Traffic light control for a single intersection based on wireless sensor network

In view of the complicated traffic condition in the traffic lights monitoring-control system, the current conventional fixed-cycle traffic light control is unable to make full use of lanes. In this paper, a novel simple and economic way used the fuzzy theory to optimize the control of traffic lights for a single intersection is designed and presented based on wireless sensor network. The traffic flow can be detected by the single-axis magnetic sensors and transmitted by wireless sensor network. In order to realize a real-time dynamic control of traffic lights and to reduce the vehicles' average trip waiting time (ATWT), the time for vehicles passing during the green lights would be dynamically adjusted through the fuzzy algorithm according to the current volume of vehicles. The test results show the lanes would be more unobstructed and the efficiency of vehicles traffic at an intersection would be enhanced. Compared with the traditional fixed-cycle system, it is more suitable to the complexity of current traffic conditions.