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Particle Swarm Optimization to Control Traffic Lights in Multiple Crossroads


Praveen Kumar , Shri Shankaracharya College Of Engineering And Technology Bhilai(CG); Yamini Chauhan, Shri Shankaracharya College Of Engineering And Technology Bhilai(CG)


PSO, Particles Swarm Optimization, Traffic, Lights, Crossovers


Since the number of vehicles comes to market quickly, most urban communities confront the major issue of traffic blockage, particularly around surge hours. Amid this period, traffic lights on real street passageways need to oversee traffic streams and diminish vehicle deferral and outflows, while giving open doors for vehicles in side lanes to enter or cross the real street. Since the nature of traffic in a city is fundamentally controlled by traffic lights, the traffic stick, thus the aggregate holding up time of conductors, can be diminished if appropriate setting on traffic lights can be received. Hence, it is an essential issue to locate a decent procedure which productively sets up the traffic light on all crossing points. At the end of the day, the fundamental worry of the analysts is to limit the general waiting time of all vehicles on traffic organize. This paper proposes a novel method to reduce the average waiting time of vehicles in the traffic using canonical PSO algorithm with 2 crossover roads. We will propose the optimal timing plan for given set of vehicles as input.

Other Details

Paper ID: IJSRDV5I60585
Published in: Volume : 5, Issue : 6
Publication Date: 01/09/2017
Page(s): 2022-2024

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