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，77779193永利官网，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