Title: An IoT-based intelligent traffic engagement system with emergency vehicles pre-emption

Authors: Bharat Pant; Harsh Sharma; Rashmi Chawla; Chirag Kumar

Addresses: Samsung Research Institute, Noida, 201301, India ' Software Development, Cognizant Technology Solutions Pvt. Ltd., Gurgaon 122001, India ' Department of Electronics, J C Bose University of Science and Technology, Faridabad 121006, India ' Department of Electronics and Communication Engineering, The LNM Institute of Technology, Jaipur 302031, India

Abstract: The increase in vehicles beyond the handling capacity of transport infrastructure leads to congestion-like situations. As a consequence, vehicles experience extended waiting time on roads and a severe impact on emergency services. The existing works are either focused on normal traffic management or handling emergency situations. This manuscript aims to provide a complete solution to address these tasks. The proposed system updates the timer dynamically using Kullback-Leibler (KL) divergence to measure the traffic density to handle the normal traffic. In the case of emergency vehicles (EV), the system is added with EV pre-emption. Finally, the system has the capability to handle multiple EVs appearing simultaneously in different lanes. For the efficacy of the proposed system, multiple experiments and comparisons with state-of-the-art techniques are carried out using the simulation of urban mobility (SUMO) traffic simulator.

Keywords: traffic management; emergency vehicle pre-emption; internet of things; IoT.

DOI: 10.1504/IJSNET.2022.125271

International Journal of Sensor Networks, 2022 Vol.40 No.1, pp.10 - 19

Received: 25 Oct 2021
Accepted: 08 Jan 2022

Published online: 05 Sep 2022 *

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