陈菁

职称:2022级博士
研究方向:自动驾驶 强化学习
邮箱:

教育经历:

   2015-2019,福州大学,工学学士

   2019-至今,同济大学交通运输工程学院,硕博连读


获奖情况:

   研究生数学建模比赛二等奖


发表论文及专利等成果:

1. Chen, J., Zhao, C. *, Jiang, S., Zhang, X., Li, Z., & Du, Y. (2023). Safe, efficient, and comfortable autonomous driving based on cooperative vehicle infrastructure system. International journal of environmental research and public health, 20(1), 893.

2. Du, Y. , Chen, J., Zhao, C.*, Liu, C., Liao, F., & Chan, C. (2022). Comfortable and Energy-efficient Speed Control of Autonomous Vehicles on Rough Pavements using Deep Reinforcement Learning. Transportation Research Part C: Emerging Technologies, 134, 103489.

3. Du, Y. , Chen, J., Zhao, C.*, Liu, C., Liao, F., & Zhu, M. (2022). A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge. Computer-Aided Civil and Infrastructure Engineering.

4. Chen, J., Zhao, C.*, & Du, Y. (2023). A Deep Reinforcement Learning-based Approach to Intelligent Speed Control for Autonomous Vehicles in Cooperative Vehicle-infrastructure Systems. In 102th Transportation Research Board Annual Meeting (No. 23-05003). Transportation Research Board.

5. Chen, J., Zhao, C.*, & Du, Y. (2022). Comfortable Speed Planning and Intelligent Suspension Control with Knowledge Transfer on Rough Pavements for Autonomous Vehicles. In 101th Transportation Research Board Annual Meeting (No.22-04762). Transportation Research Board.

6. Chen, J., Zhao, C.*, & Du, Y. (2021). Comfortable and Energy Efficient Velocity Control on Rough Pavements using Deep Reinforcement Learning. In 100th Transportation Research Board Annual Meeting (No. 21-03858). Transportation Research Board.