A Practical Implementation of Day-3 Cooperative Intersection with Automated Connected Mini-Cars

📅 2026-06-29
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the inefficiencies and safety concerns associated with conventional traffic signal control, which often leads to unnecessary stops and delays at intersections. To overcome these limitations, the authors develop an experimental platform for real-time cooperative intersection management using connected and automated miniature vehicles. For the first time, autonomous driving, wireless communication, and centralized coordination are integrated within a 1:10 scaled physical environment, enabling conflict-free intersection passage without traffic signals through dynamic trajectory planning. Experimental results demonstrate that multiple vehicles can traverse the intersection safely, continuously, and efficiently, thereby validating the feasibility and effectiveness of the proposed cooperative management framework.
📝 Abstract
Cooperative driving enabled by connected and automated vehicles is expected to improve traffic efficiency and safety, particularly at intersections where traditional control mechanisms such as traffic lights introduce delays and unnecessary stops. Although cooperative intersection management algorithms have been widely studied, experimental demonstrations remain limited. This paper presents a real-time demonstration of cooperative intersection management using connected autonomous mini-cars. The testbed consists of multiple 1:10 scale vehicles equipped with autonomous driving capabilities and wireless communication modules that interact with a centralized controller responsible for scheduling their crossing of the intersection. Vehicles approaching the intersection exchange messages with the controller to set the appropriate mobility profile to traverse the intersection without stopping. The demonstration integrates autonomous driving, wireless communication, and cooperative control in a single experimental platform, providing a practical environment for validating cooperative intersection management concepts for future intelligent transportation systems.
Problem

Research questions and friction points this paper is trying to address.

cooperative intersection
connected and automated vehicles
traffic efficiency
autonomous driving
intelligent transportation systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

cooperative intersection management
connected and automated vehicles
real-time demonstration
centralized scheduling
autonomous mini-cars
Lorenzo Farina
Lorenzo Farina
Full Professor of Biomedical Engineering, Department of Computer, Control and Management
Computational molecular biologynetwork medicine
V
Vittorio Todisco
DEI, Universit`a di Bologna, 40136 Bologna, Italy; National Laboratory of Wireless Communications (WiLab), CNIT, 40136 Bologna, Italy
F
Federico Gavioli
FIM, University of Modena and Reggio Emilia, 41125 Modena, Italy
S
Salvatore Iandolo
DIEF, University of Modena and Reggio Emilia, 41125 Modena, Italy
F
Francesco Moretti
FIM, University of Modena and Reggio Emilia, 41125 Modena, Italy
G
Giuseppe Perrone
Dipartimento di Automatica e Informatica, Politecnico di Torino, 10129 Torino, Italy
M
Matteo Piccoli
National Laboratory of Wireless Communications (WiLab), CNIT, 40136 Bologna, Italy
F
Francesco Raviglione
Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, 10129 Torino, Italy
M
Marco Rapelli
Dipartimento di Automatica e Informatica, Politecnico di Torino, 10129 Torino, Italy
A
Antonio Solida
DIEF, University of Modena and Reggio Emilia, 41125 Modena, Italy
Claudio Casetti
Claudio Casetti
Politecnico di Torino
Wireless Networks
Paolo Burgio
Paolo Burgio
Università di Modena e Reggio Emilia
Many-core systemsEmbedded SystemProgramming modelsReal-time systems
C
Carlo Augusto Grazia
DIEF, University of Modena and Reggio Emilia, 41125 Modena, Italy
Alessandro Bazzi
Alessandro Bazzi
Università di Bologna
Connected vehiclesvehicular networkswireless networks