🤖 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.