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Intelligent Scheduling Mechanism For Autonomous Vehicles At Intersections In A Vehicle-road Coordination Environment

Posted on:2022-07-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y LiFull Text:PDF
GTID:2512306566490514Subject:System theory
Abstract/Summary:PDF Full Text Request
With the acceleration of urbanization,the number of urban population and vehicles has soared,putting great pressure on the urban road network.With the advent of artificial intelligence,autonomous vehicles(AV)and cooperative vehicle infrastructure systems(CVIS)provide a promising solution to traffic congestion.Intersections,where most traffic congestion happens,play a crucial role in the traffic network,Efficient intersection management under the V2I(Vehicle-to-Infrastructure)communication circumstances is not only a challenging theoretical problem but also a practical engineering problem.Based on V2 I technology,this paper proposes an intersection automatic vehicle intelligent scheduling strategy,and combines the technique of vehicle platooning,forming vehicles in the same lane,further improving the efficiency of urban intersection traffic.Simulations are conducted on SUMO(Simulation of Urban MObility)to verify the validity and feasibility of the proposed strategies.The main content of this thesis is as follows:First,an intersection management strategy for autonomous vehicles under V2 I circumstance is proposed.All vehicles are supposed to be fully autonomous and can communicate with the intersection management unit to check the traffic situation.Priority of passing the intersection is decided by a static conflict matrix which represents the potential conflict between lanes of different directions and a dynamic information list which could capture the real-time occupation of each lane in the intersection.Simulations show that,compared with both fixed and adaptive traffic light methods,the proposed strategy is could significantly reduce the average time delay caused by the intersection and the corresponding variance,which shows the efficiency and fairness of the proposed strategy in intersection management.Second,based on the previous work,we further consider vehicle platooning where vehicles on the same route keep a small and safe distance between each other.The first vehicle obtains the road conditions at the intersection and then makes a decision,passing the information to the vehicles in the same convoy,such that the vehicles could perform cooperatively adaptive cruise control and maintain consistent speed.Simulations under different traffic densities show that,compared with the single-vehicle control strategy under the same condition,vehicle platooning could further improve the traffic efficiency in the intersection area.
Keywords/Search Tags:Self-driving vehicles, Intelligent scheduling, Intersection management, Vehicle platooning, SUMO
PDF Full Text Request
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