User trust has been identified as a critical issue that is pivotal to the success of autonomous vehicle (AV) operations where artificial intelligence (AI) is widely adopted. For such …
This paper proposes an innovative distributed longitudinal control strategy for connected automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal control strategy for connected and automated vehicles (CAVs) under communication failure …
K Shi, Y Wu, H Shi, Y Zhou, B Ran - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Vehicle trajectory prediction is essential for the operation safety and control efficiency of automated driving. Prevailing studies predict car following and lane change processes in a …
M Hua, D Chen, X Qi, K Jiang, ZE Liu, Q Zhou… - arXiv preprint arXiv …, 2023 - arxiv.org
Connected and automated vehicles (CAVs) have emerged as a potential solution to the future challenges of developing safe, efficient, and eco-friendly transportation systems …
Connected automated vehicles (CAVs) are broadly recognized as next-generation transformative transportation technologies having great potential to improve traffic safety …
XY Guo, G Zhang, AF Jia - Vehicular Communications, 2023 - Elsevier
The emergence of autonomous vehicles will significantly improve traffic efficiency and safety. Before the fully autonomous driving of traffic system, the mixed traffic with …
X Li, Y Xiao, X Zhao, X Ma, X Wang - Physica A: Statistical Mechanics and …, 2023 - Elsevier
Connected and autonomous vehicles (CAVs) are developing rapidly nowadays. In the near future, we may see human-driving vehicles (HVs) and CAVs running on the same road. The …
Connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs) will inevitably coexist on roads in the future, creating mixed-flow traffic. The heterogeneous car …