Study on IoT-based vehicle accident-avoidance system

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17224642
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Study on IoT-based vehicle accident-avoidance system

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Study on IoT-based vehicle accident-avoidance system

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Bharathiar University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Geochemistry and Geologic Mapping
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