Simulations and Result analysis of VANET Based Self Adaptive Prioritized Traffic Signal Control

Abstract

Increase in the number of vehicle causes traffic congestion at intersections of roads. It suffers the people time and Emergency Vehicle (EV) such as, ambulance, fire brigade etc, are stuck or delay to destination causes heavy losses. To avoid this, Our Traffic control system should be intelligent and adaptive in Management of signal allocation, EV has to be varies with priority order to create desirable circumstances. Here, I propose to use Vehicular Ad Hoc Networks (VANET) to collect, schedule and aggregate speed and location information of individual vehicles to optimize signal control at traffic intersections. In my proposed work, the Priority Scheduling Algorithm (PS) used to provide the efficient prioritize Traffic Control System. The Priority Scheduling Algorithm schedules the higher priority vehicles (that are Emergency Vehicles). Simulation and Experimental analysis done on proposed work. Different parameters are considered for analyzing the system and results are effectively improved than existing system. The experimental results are presented in this paper.