Open Access

ARTICLE

Enhancing Vehicle Overtaking System via LoRa-Enabled Vehicular Communication Approach

by Kwang Chee Seng, Siti Fatimah Abdul Razak^*, Sumendra Yogarayan

Faculty of Information Science and Technology, Multimedia University, Melaka, 75450, Malaysia

* Corresponding Author: Siti Fatimah Abdul Razak. Email:

Computer Systems Science and Engineering 2025, 49, 239-258. https://doi.org/10.32604/csse.2024.056582

Received 25 July 2024; Accepted 12 September 2024; Issue published 10 January 2025

Abstract

Vehicle overtaking poses significant risks and leads to injuries and losses on Malaysia’s roads. In most scenarios, insufficient and untimely information available to drivers for accessing road conditions and their surrounding environment is the primary factor that causes these incidents. To address these issues, a comprehensive system is required to provide real-time assistance to drivers. Building upon our previous research on a LoRa-based lane change decision-aid system, this study proposes an enhanced Vehicle Overtaking System (VOS). This system utilizes long-range (LoRa) communication for reliable real-time data exchange between vehicles (V2V) and the cloud (V2C). By providing drivers with critical information, including surrounding vehicle movements, through visual and audible warnings, the VOS aims to support vehicle overtaking decisions by calculating the safe distance between vehicles as per the Association of State Highway and Transportation Officials (AASHTO) guidelines. This study also examines the performance of LoRa communication strength and data transmission at various distances using a cloud monitoring tool or dashboard.

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Keywords

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