Recent News

• March 2024 - On March 22, at 10 am, in Room P1.1, we are glad to host the seminar "Vehicular Connectivity in 5G and Beyond" by Dr. Ing. Luca Lusvarghi, currently at Universidad Miguel Hernandez de Elche (UMH), Elche, Spain.

• November 2023 - We are proudly collaborating with Ferrari SpA on a joint PhD project termed "Next Generation of Connected Vehicles".

• September 2023 - Luca Lusvarghi's PhD thesis, entitled "Vehicular Communications from 4G to 5G: Assessing the Achievable Performance" was awarded the GTTI national prize for the best PhD thesis in the field of communication technologies.

• April 2023 - We signed a Collaboration Agreement with the Joint Research Center of the European Union for the testing of communication-based solutions protecting vulnerable road users (VRUs) from the surrounding road traffic.

About VehiComLab

The Vehicular Communications Laboratory for Safe Mobility is a research laboratory and group hosted by the Department of Engineering “Enzo Ferrari” of the University of Modena and Reggio Emilia, Modena, Italy.

Our group’s research interests are in wireless networks, with emphasis on vehicular connectivity and cooperation among vehicles and road occupants. The final aim is to contribute to build a safer travelling environment for all categories of street inhabitants, that is, different vehicles types, but also pedestrians, bicycles, motorbikes and the like.

Here are some of the themes we are currently investigating or that we have explored in the recent past, along with the research approaches we have undertaken:

• Machine learning to improve the delivery effectiveness of awareness messages;
• Analytical models for the resource allocation algorithms in the New Radio – Vehicle to Everything (NR–V2X) standard;
• Analysis of multimodal datasets recorded by autonomous vehicles for the generation of Cooperative Perception Messages (CPMs) or High Definition (HD) map feature extraction and for the evaluation of the communication channel;
• Development of analytical models to describe CAVs as traffic sources;
• Analysis of novel solutions related to Cooperative Perception Services (CPSs) for Connected Automated Vehicles (CAVs);
• Vulnerable Road Users protection through Cooperative Services: simulative and experimental frameworks.