Adaptive Priority Methods Of Public Bus Under Internet Of Vehicles

Focusing on the problems in bus priority systems, like hysteresis, being not able to fully exploit road capacity, an Adaptive Bus Priority (ABP) model based on the Internet of Vehicles (IOV) was proposed. First, with powerful communication capability of IOV, using time division multiplexing ideas, road multiplexed control rules for ordinary bus was designed, and the "space priority" was achieved by setting a virtual bus lane. Secondly, real-time data acquisition of arrival vehicle was used to replace the historical data to solve the problem of hysteresis. Finally, the bus priority signal control model was designed, and bus priority was realized by inserting short phases to make public transit priority. Simulation was designed to compare the ABP and traditional model and the results indicated that the ABP model can improve the operation efficiency of bus and intersection pass capacity without causing great impact to social vehicles.Aiming at the problems of intersection control system of automatic driving vehicle,like control strategy being too simple, blind decision, crossing time and space resources use rate having potentiality to improve, being not compatible with active bus priority, real-time bus priority intelligent control strategy. This paper introduces the thoughts of the auctions, designed an intersection control system based on auction of Autonomous Vehicle to solve the problems above, and verified the feasibility of the system through the simulation experiments.