曲小波 - 清华大学 - 车辆与运载学院

个人简介

教育背景 2019-2020 瑞典查尔莫斯理工大学高等教育研究生文凭 2009-2012 新加坡国立大学博士 2006-2009 清华大学工学硕士 2001-2005 吉林大学工学学士工作履历 2021.12 - ：清华大学车辆与运载学院教授 2020.03-2021.12：瑞典查尔莫斯理工大学讲席教授 2018.03-2020.02：瑞典查尔莫斯理工大学教授 2016.07-2018.02：澳大利亚悉尼科技大学高级讲师 2012.02-2016.06：澳大利亚格里菲斯大学讲师、高级讲师荣誉与奖励新加坡交通部部长创新奖-2010 格里菲斯大学校级优秀教学奖-2015 格里菲斯大学学部优秀教学奖-2014 澳大利亚教育部奋进长江研究奖-2016 欧洲科学院（Academia Europaea）院士-2020 长江学者讲席教授-2021 IET Fellow

研究领域

智能交通系统；地空协同物流与出行；立体交通系统；未来公交系统；车城互联系统

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Wang, K., Li, A., Qu, X., 2023. Urban aerial mobility: Network structure, transportation benefits and Sino-US comparison. The Innovation, 100393. Qu X., Zhong L., Zeng Z., Tu H., and Li X., 2022. Automation and connectivity of electric vehicles: Energy boon or bane? Cell Reports Physical Science, 3 (8), 101002 Basso, R., Kulcsar, B., Sanchez-Diaz, I., Qu, X., 2022. Dynamic Stochastic Electric Vehicle Routing with Safe Reinforcement Learning. Transportation Research Part E, 157, 102496. Chen Z, Li X, and Qu X., 2022. A continuous model for designing corridor systems with modular autonomous vehicles enabling station-wise docking. Transportation Science, 56(1), 1-30. Wu J, Kulcsár B, Selpi, Qu X., 2021. A Modular, Adaptive, and Autonomous Transit System (MAATS): A In-motion Transfer Strategy and Performance Evaluation in Urban Grid Transit Networks. Transportation Research Part A: Policy and Practice, 151, 81-98. Zhang L, Wang S, and Qu X, 2020. Optimal electric bus fleet scheduling considering battery degradation and non-linear charging profile. Transportation Research Part E: Transportation and Logistics Review, 154, 102445, (also part of ISTTT2022 - acceptance rate: 10%). Zhang J, Tang T, Yan Y, Qu X., 2021. Eco-driving control for connected and automated electric vehicles at signalized intersections with wireless charging. Applied Energy, 282, 116215. Wu J, Ahn S, Zhou Y, Liu P, Qu X., 2021. The cooperative sorting strategy for connected and automated vehicle platoons. Transportation Research Part C: Emerging Technologies, 123, 102986. Zhou M, Yu Y, Qu X., 2020. Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach. IEEE Transactions on Intelligent Transportation Systems, 21(1): 433-443. Wu J, Kulcsár B, Ahn S, Qu X., 2020. Emergency vehicle lane pre-clearing: From microscopic cooperation to routing decision making. Transportation Research Part B: Methodological, 141: 223-239. Varga B, Tettamanti T, Kulcsár B, Qu X., 2020. Public transport trajectory planning with probabilistic guarantees. Transportation Research Part B: Methodological, 139: 81-101. Qu X, Yu Y, Zhou M, Lin C, Wang X., 2020. Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach. Applied Energy, 257, 114030. Wang S, Yan R, Qu X., 2019. Development of a non-parametric classifier: Effective identification, algorithm, and applications in port state control for maritime transportation. Transportation Research Part B: Methodological, 128: 129-157. Li X, Medal H, Qu X., 2019. Connected infrastructure location design under additive service utilities. Transportation Research Part B: Methodological, 120: 99-124. Wang S, Zhang W, Qu X., 2018. Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations. Transportation Research Part B: Methodological, 118: 318-335. Li X, Ghiasi A, Xu Z, Qu X., 2018. A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis. Transportation Research Part B: Methodological, 118: 429-456. Zhou M, Qu X, Li X., 2017. A recurrent neural network based microscopic car following model to predict traffic oscillation. Transportation Research Part C: Emerging Technologies, 84: 245-264. Zhou M, Qu X, Jin S., 2017. On the Impact of Cooperative Autonomous Vehicles in Improving Freeway Merging: A Modified Intelligent Driver Model-Based Approach. IEEE Transactions on Intelligent Transportation Systems, 18(6): 1422-1428. Wang K, Wang S, Zhen L, Qu X., 2017. Cruise service planning considering berth availability and decreasing marginal profit. Transportation Research Part B: Methodological, 95: 1-18, (Impact Factor: 4.796). Qu X, Zhang J, Wang S., 2017. On the stochastic fundamental diagram for freeway traffic: Model development, analytical properties, validation, and extensive applications. Transportation Research Part B: Methodological, 104: 256-271. Qu X, Wang S, Zhang J., 2015. On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models. Transportation Research Part B: Methodological, 71: 91-102.

学术兼职

主编：Communications in Transportation Research 执行主编：Journal of Intelligent and Connected Vehicles 编委：The Innovation (A flagship journal under the cell group)、Transportation Research Part A/Part E、Computer-Aided Civil and Infrastructure Engineering 副编/领域编辑：ASCE Journal of Transportation Engineering、ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems、IEEE Transactions on Cybernetics、IEEE ITS Magazine、Transportmetrica B、Journal of Intelligent and Connected Vehicles 最佳论文评选委员会主席：ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems