Intelligent Crossroads Testbed: Toward Autonomous Intersection Management Systems

In the rapidly advancing domain of autonomous vehicle technology, the management of intersection traffic emerges as a demanding challenge. This paper describes the development and implementation of a novel testbed designed for the investigation of an autonomous intersection management system (AIMS). The research primarily focuses on the complex coordination required among autonomous vehicles for efficient operation at urban intersections. At the heart of this system lies the Intersection Coordination Unit (ICU), which centralizes traffic management. Robotic vehicles, equipped with On-Board Units (OBU) and advanced sensors, communicate wirelessly with the ICU. This communication facilitates real-time updates on vehicle positions and movements, enhancing environmental perception and aiding in collision prevention. The paper includes a validation section, demonstrating the testbed’s capabilities and the quality of data it generates.