TY - JOUR PY - 2024// TI - Collaborative misbehaviour response system for improving road safety JO - World electric vehicle journal A1 - Chikh, Khaled A1 - Shrivastav, Chinmay Satish A1 - Cavicchioli, Roberto SP - e158 EP - e158 VL - 15 IS - 4 N2 - 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.

Language: en

LA - en SN - 2032-6653 UR - http://dx.doi.org/10.3390/wevj15040158 ID - ref1 ER -