TY  - EJOU
AU  - Seng, Kwang Chee 
AU  - Razak, Siti Fatimah Abdul 
AU  - Yogarayan, Sumendra 

TI  - Enhancing Vehicle Overtaking System via LoRa-Enabled Vehicular Communication Approach
T2  - Computer Systems Science and Engineering

PY  - 2025
VL  - 49
IS  - 1
SN  - 

AB  - 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.
KW  - Connected vehicle; internet of things; LoRa; vehicle overtaking; vehicle-to-cloud; vehicle-to-vehicle; V2V

DO  - 10.32604/csse.2024.056582