职称/职务:副教授
主要研究领域:车路协同系统感知、优化和控制,强化学习,深度学习
电子邮箱:liangyunyilyy@126.com
办公室:经管大楼A楼1108室
职称/职务:副教授
主要研究领域:车路协同系统感知、优化和控制,强化学习,深度学习
电子邮箱:liangyunyilyy@126.com
办公室:经管大楼A楼1108室
教育背景 博士,交通运输工程,同济大学,2014–2019 联合培养博士,土木与环境工程,华盛顿大学,2016–2018 本科,交通工程,华南理工大学,2010–2014 工作经历 副教授,上海理工大学管理学院,2024-至今 博士后,慕尼黑工业大学工程与设计学院,2022-2024 博士后,同济大学交通运输工程学院,2019-2021 |
期刊论文 [1] Xu, L., Wu, Z., Wang, Y., Tang, J., & Liang, Y.* (2024). Compressing Vehicle Trajectory Data Using Hybrid Coding With Kinematic Motion Prediction. IEEE Transactions on Intelligent Transportation Systems. [2] Liang, Y., Wu, Z., Yang, H., & Wang, Y. (2022). A Novel Framework for Road Side Unit Location Optimization for Origin-Destination Demand Estimation. IEEE Transactions on Intelligent Transportation Systems, 23(11), 21113-21126. [3] Liang, Y., Zhang, S., & Wang, Y. (2021). Data-driven road side unit location optimization for connected-autonomous-vehicle-based intersection control. Transportation Research Part C: Emerging Technologies, 128, 103169. [4] Liang, Y., Ma, N., Li, X., & Hu, J. (2021). Stochastic roadside unit location optimization for information propagation in the Internet of Vehicles. IEEE Internet of Things Journal, 8(17), 13316-13327. [5] Liang, Y., Wu, Z., & Hu, J. (2020). Road side unit location optimization for optimum link flow determination. Computer‐Aided Civil and Infrastructure Engineering, 35(1), 61-79. [6] Qin, W., Zhang, M., Li, W., & Liang, Y.* (2023). Spatiotemporal K-Nearest Neighbors Algorithm and Bayesian Approach for Estimating Urban Link Travel Time Distribution From Sparse GPS Trajectories. IEEE Intelligent Transportation Systems Magazine. [7] Chen, X., Wu, Z., & Liang, Y.* (2023). Modeling Mixed Traffic Flow with Connected Autonomous Vehicles and Human-Driven Vehicles in Off-Ramp Diverging Areas. Sustainability, 15(7), 5651. [8] Yang, W., Wu, Z., Tang, J., & Liang, Y.* (2023). Assessing the Effects of Modalities of Takeover Request, Lead Time of Takeover Request, and Traffic Conditions on Takeover Performance in Conditionally Automated Driving. Sustainability, 15(9), 7270. [9] Liang, Y., Tang, J., Wu, Z., & Jia, M. (2023). Influence of Psychological and Socioeconomic Factors on Purchase Likelihood for Autonomous Vehicles: A Hybrid Choice Modeling Approach. Sustainability, 15(21), 15452. [10] Liang, Y., Wu, Z., Li, J., Li, F., & Wang, Y. (2018). Shockwave-based queue length estimation method for pre-signals for bus priority. Journal of Transportation Engineering, Part A: Systems, 144(9), 04018057. [11] Liang, Y., Cui, Z., Tian, Y., Chen, H., & Wang, Y. (2018). A deep generative adversarial architecture for network-wide spatial-temporal traffic-state estimation. Transportation Research Record, 2672(45), 87-105. [12] Liang, Y., Wu, Z., Tian, Y., & Chen, H. (2018). Roadside unit location for information propagation promotion on two parallel roadways with a general headway distribution. IET Intelligent Transport Systems, 12(10), 1442-1454. 会议论文 [1] Liang, Y., Wu, Z., & Wang, Y. (2021). Actor-Critic Reinforcement Learning for Eco Cooperative Adaptive Cruise Control. The 101th TRB Annual Meeting [2] Chen, X., Wu, Z., & Liang, Y.* (2022). Modeling and Simulation Analysis of Mixed Traffic Flow in Off-ramp Diverging Areas. The 102th TRB Annual Meeting [3] Wang, D., Wu, Z., Liang, Y.*, Ma, G., & Gao, Z. (2022). Joint Optimization of Traffic Signal Timing and Speed Profile of Connected Autonomous Vehicles at Signalized Intersections. The 102th TRB Annual Meeting [4] Xu, L., Wu, Z., & Liang, Y.* (2022). Compression of Trajectory Data of Connected Autonomous Vehicles Using a Hybrid Coding Algorithm. The 102th TRB Annual Meeting [5] Li, C., Wu, Z., & Liang, Y.* (2023). Federated Multiagent Reinforcement Learning for On-Ramp Merging Control. The 103th TRB Annual Meeting [6] Xu, L., Wu, Z., & Liang, Y*. (2023). Diagnosis of Broken and Worn Traffic Markings Using a Hybrid Neural Network. The 103th TRB Annual Meeting [7] Ren, Y., Wang, Y., Wu, Z., & Liang, Y*. (2023). Few-shot Accurate Recogntion of Vehicle Lane-changing Intention in Connected Vehicle Environment: A Meta-Transformer Approach. The 103th TRB Annual Meeting [8] Liang, Y., Cui, Z., Tian, Y., Chen, H., & Wang, Y. (2017). A Deep Generative Adversarial Architecture for Spatial-Temporal Traffic State Estimation. Proceedings of the 97th TRB Annual Meeting [9] Wu, Z., Liang, Y.*, Lv, H., & Liu, J. (2016). Curved Roads Obstacle Avoidance Control Strategy for Autonomous Vehicles. Proceedings of the 96th TRB Annual Meeting [10] Wu, Z., Liang, Y.*, Fan, W., & Tian, Y. (2016). Comparison of Driving Performance under Different Positions of Smartphone Used for Navigation. Proceedings of the 96th TRB Annual Meeting 科研项目 [1] 欧盟玛丽居里学者人才基金,基于半监督学习的交通分配仿真模型在线标定方法研究,主持 [2] 慕尼黑工业大学全球优秀博士后基金,数模混动的车队编拆个性化控制方法研究,主持 [3] 国家自然科学基金青年项目,基于机制设计的路侧单元动态布设优化方法研究,主持 [4] 上海市超级博士后激励计划,面向边缘计算的路侧单元布设优化理论研究,主持 [5] 中国博士后科学基金面上资助,数模混动的自动驾驶汽车个性化换道控制方法研究,主持 [6] 国家重点研发计划子课题,半开放条件下IVIS集成测试评估、标准化及示范应用,参与 [7] 国家自然科学基金面上项目,智能网联汽车对瓶颈交通流影响机理及协同优化方法研究,参与 |
[1] IEEE Member,2021年02月至今 [2] Associate Member of American Society of Civil Engineers (ASCE),2021年04月至今 [3] 中国公路学会会员,2022年07月至今 [4] Transportation Research Part C: Emerging Technologies期刊审稿人,2022年09月至今 [5] Transportation Research Part A: Policy and Practice期刊审稿人,2022年07月至今 [6] IEEE Access期刊审稿人,2021年04月至今 [7] IEEE Open Journal of Intelligent Transportation Systems期刊审稿人,2019年11月至今 [8] Journal of Transportation Engineering, Part A: Systems期刊审稿人,2018年07月至今 [9] Journal of Intelligent Transportation Systems期刊审稿人,2017年12月至今 [10] Transportation Research Board Annual Meeting审稿人,2016年10月至今 [11] The World Conference on Transport Research审稿人,2016年03月至今 |
[1] IEEE Open Journal of Intelligent Transportation Systems Outstanding Review Award,2021 [2] 同济大学优秀博士学位论文,2021 |