Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies

no code implementations • 9 May 2019 • Shuo Feng, Yiheng Feng, Haowei Sun, Shao Bao, Yi Zhang, Henry X. Liu

In Part I of this study, a general methodology for TSLG is proposed, and theoretical properties are investigated regarding the accuracy and efficiency of CAV evaluation.

Reinforcement Learning