Using genetic algorithm for traffic light control system with a pedestrian crossing

• Main Authors: Turky, A.M., Ahmad, M.S., Yusoff, M.Z.M., Hammad, B.T.
• Published: 2018
• Online Access: http://dspace.uniten.edu.my/jspui/handle/123456789/8293

In this paper, we explore the use of genetic algorithm and implementing the technology to improve the performance of traffic light and pedestrian crossing control in a four-way, two-lane traffic junction. The algorithm resolves the limitations of traditional fixed-time control for passing vehicles and pedestrians. It employs a dynamic system to control the traffic light and pedestrian crossing that monitors two sets of parameters: the vehicle and pedestrian queues behind a red light and the number of vehicles and pedestrians that passes through a green light. The algorithm dynamically optimizes the red and green times to control the flow of both the vehicles and the pedestrians. Performance comparisons between the genetic algorithm controller and a fixed-time controller reveal that the genetic algorithm controller performs significantly better. © 2009 Springer Berlin Heidelberg.