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

Authors(2) :-Shaikh Sharique Ahmad, Prof. Hiralal Solunke

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.

Authors and Affiliations

Shaikh Sharique Ahmad
Department of Computer Science Engineering, G.H. Raisoni Institute of Engineering and Managements, Jalgaon (M.S), India
Prof. Hiralal Solunke
Department of Computer Science Engineering, G.H. Raisoni Institute of Engineering and Managements, Jalgaon (M.S), India

VANET, Priority, Time, Emergency Vehicles

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Publication Details

Published in : Volume 3 | Issue 6 | July-August 2018
Date of Publication : 2018-07-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 17-24
Manuscript Number : CSEIT118365
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shaikh Sharique Ahmad, Prof. Hiralal Solunke, "Simulations and Result analysis of VANET Based Self Adaptive Prioritized Traffic Signal Control", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 6, pp.17-24, July-August.2018
URL : http://ijsrcseit.com/CSEIT118365

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