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Published in Journal of Advanced Transportation, 2021
Recommended citation: Yan, L., Wang, P., Yang, J., Hu, Y., Han, Y., & Yao, J. (2021). Refined path planning for emergency rescue vehicles on congested urban arterial roads via reinforcement learning approach. Journal of Advanced Transportation, 2021, 1-12. https://www.hindawi.com/journals/jat/2021/8772688/
Published in Accident Analysis & Prevention, 2023
Recommended citation: Yan, L., Wang, P., Qi, F., Xu, Z., Zhang, R., & Han, Y. (2023). A task-level emergency experience reuse method for freeway accidents onsite disposal with policy distilled reinforcement learning. Accident Analysis & Prevention, 190, 107179. https://www-sciencedirect-com.libproxy1.nus.edu.sg/science/article/pii/S0001457523002269
Published in ArXiv, 2024
Recommended citation: Yan, L., Zhou, J., & Yang, K. (2024). Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments. arXiv preprint arXiv:2401.12852. https://arxiv.org/abs/2401.12852
Published in IEEE Transactions on Intelligent Vehicles, 2024
Recommended citation: Zhou, J., Yan, L., & Yang, K. (2024). Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning. IEEE Transactions on Intelligent Vehicles. https://ieeexplore-ieee-org.libproxy1.nus.edu.sg/abstract/document/10462535
Published in ArXiv, 2024
Recommended citation: Yan, L., Liang, J., & Yang, K. (2024). Bi-Level Control of Weaving Sections in Mixed Traffic Environments with Connected and Automated Vehicles. arXiv preprint arXiv:2403.16225. https://arxiv.org/abs/2403.16225
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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