Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning

arXiv:2402.19275v1 Announce Type: cross
Abstract: The assessment of safety performance plays a pivotal role in the development and deployment of connected and automated vehicles (CAVs). A common approach involves designing testing scenarios based on prior knowledge of CAVs (e.g., surrogate models), conducting tests in these scenarios, and subsequently evaluating CAVs' safety performances. However, substantial differences between CAVs and the prior knowledge can significantly diminish the evaluation efficiency. In response to this issue, existing studies predominantly concentrate on the adaptive design …

abstract arxiv assessment automated automated vehicles cs.lg cs.sy deployment designing development eess.sy environment knowledge performance pivotal prior reinforcement reinforcement learning role safety testing tests type vehicles