Vehicle-infrastructure Cooperative automation
The difficulty of vehicle-infrastructure cooperative automation decision-making lies in the complex system interaction law of multiple dimensions such as single vehicle control, path planning, single point vehicle-infrastructure cooperation, and arterial signal coordination. To achieve the goal of road space-time resources and vehicle cooperative deployment, we proposed a variable equivalence factors method based on the traffic flow map by introducing the system dynamics. The results show that achieve the maximum improvement of traffic efficiency by 50%.
The practical applications are as follows.
1.Transit signal priority with Connected Vehicles（Cooperator: Virginia Department of Transportation）
For the decision-making of vehicle-infrastructure cooperative automation, in order to realize the cooperative deployment of road and bus, we developed the bus priority technology in a connected environment. We applied the method to three road sections in Virginia, U.S.A. The results showed that the efficiency is improved by about 25% and the reliability is improved by about 16%.
2.Decision-maker and controller on unstructured road based on roadside perception (Cooperator: Continental)
The project solves the problem of inaccurate decision-making and implements automated driving in unstructured road scenarios such as toll station. A decision-making and control structure is designed. The information of obstacles can be obtained by sensors on road and then sent to automated vehicle. The future status of obstacles can be predicted. Based on perception and prediction, automated vehicle can make decision and control on unstructured road.