Submission Deadline Extended to 13 March 2025

W8: Dataset, Resources, and Innovative tools for Vehicular networks (DRIVE) Workshop
Co-Organizer: Francesco Linsalata, Politecnico di Milano, Italy
Co-Organizer: Marco Rapelli, Politecnico di Torino, Italy
Co-Organizer: Falko Dressler, Technische Universität Berlin, Germany
Co-Organizer: Mate Boban, Huawei Technologies, Germany

Abstract: In the evolving landscape of modern transportation, connected vehicles are transitioning from concept to reality, propelled by innovations that drive progress toward fully Connected and Autonomous Vehicles (CAVs). This vision relies on integrating Vehicle-to-Everything (V2X) communication, Artificial Intelligence (AI), Machine Learning (ML), and next-generation wireless networks like 6G.

The development and validation of these technologies require diverse approaches. Simulation frameworks combine mobility and network simulators to recreate complex vehicular scenarios, enabling the evaluation of advanced technologies and large-scale networks. Complementing this, real-world testing using hardware advancements facilitates the replication of simpler scenarios, which is essential to validate and refine simulation outputs. A hybrid approach blends the strengths of both methods by incorporating real-world data (such as vehicle traces, drone-captured traffic flows, or sensor inputs) to reduce simulation complexity and improve fidelity through hardware in- the-loop and dataset-in-the-loop techniques.

Open data is emerging as a critical resource for networks, enabling the design of realistic simulations and emulations by providing valuable inputs from diverse sources, including real-world measurements and synthetic datasets. Combined with open-source tools, this data fosters collaboration and accelerates 6G innovation across academia and industry.

This workshop broadens its scope to explore open simulation and emulation tools, open data, and their applications in designing and validating CAV and V2X technologies. By integrating perspectives from academia and industry, it aims to inspire advancements, foster collaboration, and pave the way toward safer, smarter, and more connected autonomous transportation and connected systems.

Co-Organizer’s Bios:

Francesco Linsalata:

Francesco Linsalata received his M.Sc. and PhD degrees cum laude in Telecommunication engineering from Politecnico di Milano, Milan, Italy, in 2019 and 2022, respectively. He is a researcher at the Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano. His main research interests focus on V2X communications and waveforms design for B5G wireless networks. He was the co-recipient of the best-paper award and recipient of the best student paper award at BalkanCom’19. He serves as TPC member in several IEEE and ACM conferences.

Marco Rapelli:

Marco Rapelli Marco Rapelli received his B.Sc. in Telecommunications Engineering (2015) and his M.Sc. in Computer and Communication Networks Engineering (2017) both at Politecnico di Torino. He took part of FULL (Future Urban Legacy Lab), an inter-disciplinary center of Politecnico di Torino, where, in March 2021, he received his Ph.D. cum laude in Electronics and Telecommunication Engineering. During his Ph.D., he also spent a eight-month visiting period at the Computer and Communication Systems Labs at Technische Universität Berlin, in Berlin, Germany. He is now an Assistant Professor with time contract at Computer and Communication Network Department (DAUIN) of Politecnico di Torino. His main research interests focus on mobility studies, large-scale urban traffic simulators and vehicular networks.

Falko Dressler:

Falko Dressler Falko Dressler is full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, TU Berlin. He received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler has been associate editorin- chief for IEEE Trans. on Network Science and Engineering, IEEE Trans. on Mobile Computing and Elsevier Computer Communications as well as an editor for journals such as IEEE/ACM Trans. on Networking, Elsevier Ad Hoc Networks, and Elsevier Nano Communication Networks. He has been chairing conferences such as IEEE INFOCOM, ACM MobiSys, ACM MobiHoc, IEEE VNC, IEEE GLOBECOM. He authored the textbooks Self-Organization in Sensor and Actor Networks published by Wiley & Sons and Vehicular Networking published by Cambridge University Press. He has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker. Dr. Dressler is an IEEE Fellow as well as an ACM Distinguished Member. He is a member of the German National Academy of Science and Engineering (acatech). He has been serving on the IEEE COMSOC Conference Council and the ACM SIGMOBILE Executive Committee. His research objectives include next generation wireless communication systems in combination with distributed algorithms for applications in the Internet of Things, and Cyber-Physical Systems, and the Internet of Bio-Nano-Things.

Mate Boban:

Mate Boban Mate Boban received his Ph.D. degree in electrical and computer engineering from Carnegie Mellon University. He is with Huawei Technologies, Munich Research Center, Germany. He is a currently a co-chair of WG1 (Radio Channels) in COST action CA20120 INTERACT and a vice-chair of the ETSI Industry Specification Group (ISG) on THz communications. His current research interests include channel modeling, resource allocation, and machine learning applied to wireless communications.

To submit a paper, please visit: https://vtc2025s-rr-wks.trackchair.com/track/2365