Roberto Cavicchioli

University of Modena and Reggio Emilia
Country flagItaly

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (8)

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.

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (4)

Marco Solieri

University of Bath

UNITED KINGDOM
View details

Nicola Capodieci

Associate Professor

University of Modena and Reggio Emilia

ITALY
View details

ELENA MOROTTI

Junior assistant professor

University of Bologna

ITALY
View details

Andrea Marongiu

Associate Professor

University of Modena and Reggio Emilia

ITALY
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.