Title: Enhancing efficiency for autonomous traffic accident detection and prevention in the internet of vehicular things and use case of intelligent control systems

Authors: Himanshi Babbar; Shalli Rani; Mohammad Shabaz; Robertas Damaševičius; Muhammad Attique Khan

Addresses: Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India ' Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India ' Model Institute of Engineering and Technology, Jammu, J&K, India ' Kaunas University of Technology, Kaunas, Lithuania ' Department of Computer Science, Prince Mohammad Bin Fahd University, Saudi Arabia

Abstract: Vehicular accidents are a prevalent issue on roads, with drowsiness being a significant contributing factor. Addressing this, an energy-efficient automated system is essential to alert drowsy drivers, eliminating dependence on the mercy of nearby individuals. This paper introduces the Arduino-based energy-efficient interactive embedded system (AIES) to fulfill the primary objective of developing a compact and cost-effective design easily installable on a vehicle's dashboard. The system employs techniques for locating nearby hospitals, minimising delays in ambulance response time and ultimately reducing unnecessary casualties. Numerical results demonstrate the efficacy of AIES in terms of vehicle velocity, travel time, goodput, and sensor input (detecting eyes opened or closed). Use case of autonomous control system for accident detection and prevention is given to prove the need of these systems in real-time applications.

Keywords: internet of things; IoT; internet of vehicles; IoV; autonomous systems; smart traffic; road accidents; sensors; cloud; 5G.

DOI: 10.1504/IJWGS.2024.143174

International Journal of Web and Grid Services, 2024 Vol.20 No.4, pp.460 - 481

Received: 03 Apr 2024
Accepted: 26 May 2024
Published online: 05 Dec 2024 *

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