Title: Optimal distributed intelligent traffic system for road safety, emergency vehicle clearance using hybrid optimisation algorithm
Authors: Bhavani Sundar Raj; Srimathi Chandrasekaran
Addresses: School of Information Technology and Engineering, VIT University, Tamilnadu, 632014, India ' School of Computing Science and Engineering, VIT University, Tamilnadu, 632014, India
Abstract: Nowadays, the population growth and their choice raise the number of vehicles, which raises traffic congestion in critical condition across the developing Nations like India. In consequence, emergency vehicles are stuck in traffic and waste their valuable time. Many authors focus on traffic problems in terms of intelligent traffic system without the consideration of emergency cases. In this paper, we propose an optimal distributed intelligent traffic system (ODITS) using hybrid optimisation algorithm. The proposed system designed by two phases are collision gathering and decision making. The clustered Jaya algorithm is used to gather the vehicle traffic information, which also differentiate emergency from normal vehicles. Then the modified multiobjective evolutionary based decision-making algorithm is used to compute the best route under the critical conditions. The simulation results shows that the proposed system reduces congestion in traffic, and waiting time of emergency vehicles without compromising normal vehicle speed, waiting time, and number of stopped vehicles.
Keywords: ODITS; optimal distributed intelligent traffic system; hybrid optimisation; collision gathering; decision making; emergency vehicle clearance.
International Journal of Services Operations and Informatics, 2019 Vol.10 No.2, pp.122 - 144
Accepted: 28 Jun 2019
Published online: 30 Oct 2019 *