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.
• Other Authors: 25825717300
• Format: Conference paper
• Published: 2023
• Subjects: Cellular Automata; Genetic Algorithm; Traffic Control Systems; Cellular automata; Control system analysis; Control systems; Controllers; Crossings (pipe and cable); Dynamical systems; Footbridges; Fuzzy sets; Genetic algorithms; Light transmission; Pattern recognition systems; Pedestrian safety; Rough set theory; Traffic control; Translation (languages); Vehicles; Dynamic Systems; Green light; Number of vehicles; Pedestrian crossing; Performance comparison; Red light; Time control; Time controller; Traffic light; Traffic light control systems; Two-lane traffic; Genetic engineering

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.