An IoT-based intelligent traffic engagement system with emergency vehicles pre-emption. (26th August 2022)

• Record Type: Journal Article
• Authors: Pant, Bharat; Sharma, Harsh; Chawla, Rashmi; Kumar, Chirag
• Is Part Of: International journal of sensor networks. Volume 40:Number 1(2022)
• Page Start: 10
• Page End: 19
• Publication Date: 2022-08-26
• Subjects: traffic management -- emergency vehicle pre-emption -- internet of things -- IoT; Sensor networks -- Periodicals; 681.2
• Languages: English
• ISSNs: 1748-1279

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.