摘要: |
Currently closed connected and autonomous vehicle (CAV) testing facilities (such as Mcity) merely provide empty roadways, in which testing CAVs can only interact with each other and infrastructure (e.g. traffic signals). However, a complete testing environment should also include background traffic to interact with the testing CAVs. Involving real vehicles as background traffic is not only costly, but also difficult to coordinate and control. To address the limitation, in this project the research team develops an augmented reality testing environment, in which background traffic is generated in microscopic simulation and provided to testing CAVs to augment the functionality of the test facility. The augmented reality combines the real-world testing facility and a simulation platform, in which movements of testing CAVs and traffic signals in the real-world can be synchronized in simulation, while simulated traffic information can be provided to testing CAVs� communication system. Testing CAVs �think� they are surrounded by other vehicles and adjust behaviors accordingly. This technology provides a realistic traffic environment to the CAVs, so that test scenarios which require interactions with other vehicles or pedestrians can be performed. Compared to using real vehicles, simulated vehicles can be easily controlled and manipulated in generating different scenarios with much less cost and safety concerns. |