International Journal of Advances in Computer Science and Its Applications
Author(s) : PARAG HIRULKAR, PREETI BAJAJ, RAHUL DESHPANDE
Traffic signal operations play an important role in the effective functioning of an urban area. They allow utilization of the existing resources to their maximum potential, which is particularly relevant today as funding sources are scarcer than ever. The objective of this research is to develop an effective procedure to optimize intersection signal timing, cycle length, splits & offsets by minimizing total delay. In this research we will utilize Particle Swarm Optimization (PSO) Algorithm for traffic signal timing optimization problem. A new particle swarm optimization algorithm is proposed to minimize the average delay and average number of stops for adjacent junctions and to handle the constraints. An actuated traffic control strategy will be employed to calculate the green time for each phase in a traffic-light cycle. The simulation results show that the delay per vehicle can be substantially reduced under constant traffic demands and time-varying traffic demands by suitably adjusting traffic signal timings. The implementation of this method does not require complicated hardware, and such simplicity makes it a useful tool for offline studies or real-time control purposes.