Study on IoT-based vehicle accident-avoidance system

Vigneshvar, S. V and Vadivel, R (2025) Study on IoT-based vehicle accident-avoidance system. World Journal of Advanced Research and Reviews, 26 (1). pp. 1596-1603. ISSN 2581-9615

Presents an efficient and secure platooning strategy for Industry 4.0 environments involving Automated Guided Vehicles. The strategy proposed adopts Threat and Operability (THROP) and Hazard and Operability (Hazard and Operability) to determine and eliminate hazards like system failures and cyberattacks. Adaptive risk management and real-time monitoring are guaranteed using digital twin-based simulations, with enhanced AGV coordination and collision risk reduced. The system also provides encryption and authentication to provide integrity to data. Simulation shows improved scalability, security, and efficiency, and potential use in smart cities and logistics. Large-scale deployment and AI-based predictive analytics are areas of interest for future study. This study helps advance industrial automation in Industry 4.0 through ensuring safe and reliable AGV operations.