Abstract
With significant advancements of vehicle-to-everything (V2X) communication technologies in recent years, intelligent collaboration between connected vehicles and roadside units provides new opportunities for better road safety and vehicle traffic management via innovative non-signalized intersections. In this article, to deal with sophisticated traffic information brought about by a dynamic non-signalized intersection environment, artificial intelligence (AI) solutions together with V2X communication technologies are proposed to provide data-driven intersection management strategies. We first present the emerging technologies and key challenges toward V2X empowered non-signalized intersection management. By introducing the applications of typical AI technologies, we pinpoint three main research issues on V2X empowered non-signalized intersection management, leveraging various AI approaches. Finally, we present a case study where a multi-agent learning approach is applied for intelligent multiple intersection management to demonstrate the effectiveness of our non-signalized intersection solution.
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