Management of urban traffic flow based on traffic lights scheduling optimization

Abstract

The automobile has become an essential element in the daily life of people. In the urban traffic network, an intersection is the “bottleneck point” of road network capacity. In the cities there are zones that are the mainframe and the key factor which guarantees the normal operation of the city’s social and economic activities. The rapid increase in vehicles leads to serious traffic jam and causes the increment of vehicles’delay. Most cities of our country are traditional single control system or none. In this context, adequate programming of the traffic light cycles helps to reduce vehicles' waiting time and improve traffic flow. In this paper, we compare four metaheuristics in order to minimize vehicles' waiting time and maximize the velocity of vehicles in Posadas city Downtown. Analysis of experimental results shows that the proposed model optimizes the vehicular flow in a multiple-junction urban traffic network.