Collaborative Misbehaviour Response System for Improving Road Safety

Author:

Chikh Khaled1ORCID,Shrivastav Chinmay Satish2ORCID,Cavicchioli Roberto3ORCID

Affiliation:

1. Department of Physics, Computer Science and Mathematics, University of Modena and Reggio Emilia, 41124 Modena, Italy

2. Department of Mathematical, Physical and Computer Sciences, University of Parma, 43121 Parma, Italy

3. Department of Communication and Economics, University of Modena and Reggio Emilia, 42121 Reggio Emilia, Italy

Abstract

This paper advocates for a proactive approach to traffic safety by introducing a collaborative Misbehaviour Response System (MBR) designed to preemptively address hazardous driving behaviours such as wrong-way driving and distracted driving. The system integrates with electric vehicles (EVs), leveraging advanced technologies like ADAS, edge computing, and cloud services to enhance road safety. Upon detection of misbehaviour, the MBR system utilizes data from interconnected parking facilities to identify the nearest safe location and provides navigation guidance to authorities and nearby vehicles. The paper presents a prototype of the MBR system, demonstrating its efficiency in detecting misbehaviours and coordinating swift responses. It also discusses the system’s limitations and societal implications, outlining future research directions, including integration with autonomous vehicle systems and variable speed limit technologies, to further improve road safety through proactive and context-aware response mechanisms.

Funder

European Union’s Horizon 2020 research and innovation programme

Publisher

MDPI AG

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