Collaborative Misbehaviour Response System for Improving Road Safety

被引:0
|
作者
Chikh, Khaled [1 ]
Shrivastav, Chinmay Satish [2 ]
Cavicchioli, Roberto [3 ]
机构
[1] Univ Modena & Reggio Emilia, Dept Phys Comp Sci & Math, I-41124 Modena, Italy
[2] Univ Parma, Dept Math Phys & Comp Sci, I-43121 Parma, Italy
[3] Univ Modena & Reggio Emilia, Dept Commun & Econ, I-42121 Reggio Emilia, Italy
来源
WORLD ELECTRIC VEHICLE JOURNAL | 2024年 / 15卷 / 04期
基金
欧盟地平线“2020”;
关键词
MBR; EV; WWD; DMS; AI; cloud; edge; 5G; IoT; urban mobility;
D O I
10.3390/wevj15040158
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页数:16
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