V2I based intersection scheduling algorithm

Sharp acceleration/deceleration at intersection increases fuel consumption of vehicles, and keeping smooth velocity can save time and oil for drivers. In this paper, we proposed a novel scheduling model based on vehicular ad-hoc networks and autonomous driving system, including vehicle motion, traffic light control and others. Vehicles communicate proactively with traffic lights when approaching to intersections and then transmit required information for scheduling. After summarizing all information about vehicles on different directions, traffic light makes a scheduling decision and distributes a time-slice to vehicle applicants. Simulations show that the proposed model is better than the traditional model in saving time, reducing fuel consumption and improving traffic efficiency. © 2016 SERSC.