LICP: A Look-ahead Intersection Control Policy With Intelligent Vehicles

Traffic congestion is widely distributed around the road networks in urban areas. It causes lots of serious social problems such as energy dissipation, air pollution and so on. If we can create an efficiency transportation system, these problems will be effectively controlled. In this paper, we consider a practical application of intelligent vehicles for intersection traffic control. Specially, we study the intersection traffic control problem using Reservation-based Intersection Traffic Control System, which utilizes the information exchange between intelligent vehicles and management agents around the intersections to direct traffic, instead of traffic lights. We focus on how to design an effective passing permission (PP) allocation strategy for this system. With an observation that will cause this system to be inefficient, we propose a novel look-ahead passing permission allocation strategy (LICP) for intersection traffic control. The large-scale testing results show that LICP can make nearly 25% performance improvement on average intersection delay than the previous First Come, First Serve method (FCFS).