Adaptive Tra c Light Algorithm for Optimization of Multiple Intersections

Abstract

In road transportation, various strategies can be applied to traffic controller. All traffic light signals can be managed in two different ways. First is at static traffic control and another one is at adaptive or dynamic traffic light control. In this report, the analysis of various methods is described which is used for traffic light signal control to make traffic signal adaptive in nature using ITS (Intelligent Transportation System). To overcome drawback of existing static traffic light control system we have proposed an algorithm which increases the flow of multiple traffic light junctions compared to the flow which we get in static traffic light junctions. Proposed algorithm is increases utilization of each intersection and decreases trip time for every vehicles as well as global road network such as grid road network by making all traffic light control (TLC) adaptive using traffic flow information, speed information and occupancy at every road connected to respective traffic light junctions. Proposed also maintains schedule global road network. It also takes care about priorities given to roads based on their mean speed. Proposed algorithm is implemented and analyzed using suitable simulator SUMO (Simulation of Urban Mobility) and Python scripts.