Basic Information:
Dr. Zhiyuan (Terry) Liu is a Professor in the School of Statistics and Data Science at Southeast University in Nanjing China. He attained his Ph.D degree from National University of Singapore (NUS) in Transportation Engineering in 2011. Prior to his studies in Singapore, he has obtained a Bachelor degree in Transportation Engineering from Southeast University. From 2011 to 2012, he worked as a postdoc research fellow in NUS. From 2012 to 2015, he was a lecturer in Monash University Australia, where he also served as the director of the Master of Transportation Systems Program. Any interested Ph.D applicants with a Master degree on Transportation Engineering or relevant areas are encouraged to apply for the international Ph.D program (with scholarship) in Southeast University at Nanjing China. If you have any queries, please email Dr. Liu for more information.
Contact Info:
Email: zhiyuanl@seu.edu.cn
Selected SCI/SSCI Papers (*corresponding author):
1. Mo, P., Liu, Z.*, Tan, Z., Yi, W., Liu, P., 2024. Subsidy Allocation Problem with Bus Frequency Setting Game: A Tri-level Formulation and Exact Algorithm. Transportation Science. (In press)
2. Liu, Z., Xie, S., Zhang, H.*, Zhou, D., Yang, Y., 2024. A Parallel Computing Framework for Large-Scale Microscopic Traffic Simulation Based on Spectral Partitioning. Transportation Research Part E, 103368.
3. Huo, J., Liu, Z.*, Chen, J., Cheng, Q., and Meng, Q., 2023. Bayesian Optimization for Congestion Pricing Problems: A General Framework and Its Instability, Transportation Research Part B, 169, 1-28.
4. Zhang, H., Liu, Z.*, Wang, J., Wu, Y., 2023. A Novel Flow Update Policy in Solving Traffic Assignment Problems: Successive Over Relaxation Iteration Method. Transportation Research Part E, 174, 103111.
5. Liu, Z., Chen, X.*, Hu, J., Wang, S., Zhang, K., Zhang, H., 2023. An Alternating Direction Method of Multipliers for Solving User Equilibrium Problem. European Journal of Operational Research, 310(3): 1072-1084.
6. Liu, Z., Zhang, H.*, Zhang, K., Zhou, Z., 2023. Integrating Alternating Direction Method of Multipliers and Bush for Solving the Traffic Assignment Problem. Transportation Research Part E, 177, 103233.
7. Zhao, H., Guo, T., Tong, W., Yin, H., Liu, Z.*, 2023. PaCS: A Parallel Computation Framework for Field-Based Crowd Simulation. IEEE Transactions on Intelligent Transportation Systems, 24, 11, 12659-12670.
8. Huo, J., Liu, C., Chen, J., Meng, Q., Wang, J., Liu, Z.*, 2023. Simulation-Based Dynamic Origin–Destination Matrix Estimation on Freeways: a Bayesian Optimization Approach. Transportation Research Part E, 173, 103108.
9. Liu, Z.*, Lyu, C., Wang, Z., Wang, S., Liu, P., Meng, Q., 2023. A Gaussian-Process-Based Data-Driven Traffic Flow Model and Its Application in Road Capacity Analysis. IEEE Transactions on Intelligent Transportation Systems, 24(2), 1544-1563.
10. Gu, Z., Li, Y., Saberi, M., Rashidi, T. H., Liu, Z.*, 2023. Macroscopic Parking Dynamics and Equitable Pricing: Integrating Trip-Based Modeling with Simulation-Based Robust Optimization. Transportation Research Part B, 173, 354-381.
11. Liu, Y., Wu, F., Liu, Z., Wang, K., Wang, F., Qu, X.*, 2023. Can Language Models Be Used for Real-World Urban-Delivery Route Optimization? The Innovation, 4(6), 100520.
12. Gu Z., Yang X., Yu W., Liu Z.*, 2022. TERL: A Two-Stage Ensemble Reinforcement Learning Paradigm for Large-Scale Decentralized Decision Making in Transportation Simulation. IEEE Transactions on Knowledge and Data Engineering, 35, 12, 13043-13054.
13. Yin, R., Liu, X., Zheng, N., & Liu, Z.*., 2022. Simulation-based Analysis of Second-best Multimodal Network Capacity. Transportation Research Part C, 145, 103925.
14. Cheng, Q., Liu, Z.*, Guo, J., Wu, X., Pendyala, R., Belezamo, B., Zhou, X., 2022. Estimating Key Traffic State Parameters Through Parsimonious Spatial Queue Models. Transportation Research Part C, 137, 103596.
15. Ma, J., Meng, Q.*, Cheng, L., and Liu, Z., 2022. General Stochastic Ridesharing User Equilibrium Problem with Elastic Demand, Transportation Research Part B, 162, 162-194.
16. Liu, Z., Lyu, C., Huo, J., Wang, S., and Chen, J.*, 2022. Gaussian Process Regression for Transportation System Estimation and Prediction Problems: The Deformation and a Hat Kernel, IEEE Transactions on Intelligent Transportation Systems.
17. Gu, Z., Wang, Z., Liu, Z., Saberi, M.*, 2022. Network Traffic Instability with Automated Driving and Cooperative Merging. Transportation Research Part C, 138, 103626.
18. Liu, Z.*, Wang, Y., Cheng, Q., and Yang, H., 2022. Analysis of the Information Entropy on Traffic Flows. IEEE Transactions on Intelligent Transportation Systems.
19. Huo, J., Wu, X., Lyu, C., Zhang, W., and Liu, Z.*, 2022. Quantify the road link performance and capacity using deep learning models, IEEE Transactions on Intelligent Transportation Systems, 10, 23, 18581 - 18591.
20. Cheng, Q., Liu, Z.*, Guo, J., Wu, X., Pendyala, R., Belezamo, B., and Zhou, X.*, 2022. Estimating key traffic state parameters through parsimonious spatial queue models. Transportation Research Part C, 137, 103596.
21. Cheng, Q., Liu, Z.*, Lin, Y., and Zhou, X.*, 2021. An s-shaped three-parameter (S3) traffic stream model with consistent car following relationship. Transportation Research Part B. 153, 246-271.
22. Liu, Z.*, Wang, Z., Cheng, Q., Yin, R., and Wang, M., 2021. Estimation of urban network capacity with second-best constraints for multimodal transport systems. Transportation Research Part B, 152, 276-294.
23. Chen, X., Zhang, W., Guo, X., Liu, Z., & Wang, S., 2021. An improved learning-and-optimization train fare design method for addressing commuting congestion at CBD stations. Transportation Research Part E, 153, 102427.
24. Liu, Y., Wu, F., Lyu, C., Liu, X., and Liu, Z.*, 2021. Behavior2vector: embedding users’ personalized travel behavior to vector, IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2021.3078229.
25. Liu, Y., Lyu, C., Liu, Z.*, and Cao, J., 2021. Exploring a Large-scale Multi-modal Transportation Recommendation System, Transportation Research Part C, 126, 103070.
26. Liu, Z.*, Liu, Y., Lyu, C., and Ye, J., 2021. Building Personalized Transportation Model for Online Taxi-hailing Demand Prediction. IEEE Transactions on Cybernetics, 51(9), 4602-4610.
27. Zhang, L., Yuan, Z., Yang, L., and Liu, Z.*, 2020. Recent Developments in Traffic Flow Modeling Using Macroscopic Fundamental Diagram. Transport Reviews, 40(4), 529-550.
28. Gu, Y., Fu, X., Liu, Z.*, Xu, X., and Chen, A., 2020. Performance of transportation network under Perturbations: Reliability, Vulnerability, and Resilience. Transportation Research Part E. DOI: 10.1016/j.tre.2019.11.003.
29. Huang, D., Gu, Y., Wang, S., Liu, Z.*, and Zhang, W., 2020. A Two-phase Optimization Model for the Demand-Responsive Customized Bus Network Design. Transportation Research Part C, 111, 1-21.
30. Liu, Z.*, Liu, Y., Meng, Q., and Cheng, Q., 2019.A Tailored Machine Learning Approach for Urban Transport Network Flow Estimation Based on Cellphone Location and License Plate Recognition Data. Transportation Research Part C, 108, 130-150
31. Liu, Y., Lyu, C., Khadka, A., Zhang, W., and Liu, Z.*, 2019. Spatio-temporal Ensemble Method for Car-Hailing Demand Prediction. IEEE Transactions on Intelligent Transport Systems.
32. Chen, X., Liu, Z.*, Kim, I., 2019. Parallel computing framework for solving user equilibrium problem on computer clusters. Transportmetrica A.
33. Liu, Y., Liu, Z.*, Lyu, C. and Ye, J., 2019. Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-hailing Demand Prediction. IEEE Transactions on Intelligent Transport Systems.
34. Liu, Y., Liu, Z.*, and Jia, R., 2019. DeepPF: A Deep Learning Based Architecture for Metro Passenger Flow Prediction. Transportation Research Part C, 101, 18-34.
35. Cheng, Q., Wang, S., Liu, Z.*, and Yuan, Y., 2019. Surrogate-based Simulation Optimization Approach for Day-to-day Dynamics Model Calibration with Real Data, Transportation Research Part C. 105, 422-438.
36. Liu, Y., Liu, Z.*, Vu, H., and Lyu, C., 2019. A Spatio-temporal Ensemble Method for Large-Scale Traffic State Prediction. Computer-Aided Civil and Infrastructure Engineering, in press
37. Liu, Z.*, Chen, X., Meng, Q., and Kim, I., 2018. Remote Park-and-Ride Network Equilibrium Model and Its Applications, Transportation Research Part B, 117, 37-62
38. Chen, J., Jia, S., Wang, S.*, and Liu, Z., 2018. Subloop-based reversal of port rotation directions for container liner shipping network alteration, Transportation Research Part B, 118, 336-361.
39. Chen, J., Liu, Z.*, Wang, S., and Chen X., 2018. Continuum approximation modeling of transit network design considering local route service and short-turn strategy, Transportation Research Part E, 119, 165-188.
40. Gu, Z., Shafiei, S., Liu, Z., and Saberi, M.*, 2018. Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram, Transportation Research Part C, 95, 1-28.
41. Xing, J., Liu, Z.*, Wu, C. and Chen, S., 2018. Traffic Volume Estimation in Multimodal Urban Networks Using Mobile Phone Location Data, IEEE Intelligent Transport System Magazine.
42. Liu, Z., Wang, S., Huang, K., Chen, J.*, and Fu, Y., 2018. Practical Taxi Sharing Scheme At large Transport Terminals, Transportmetrica B. DOI:10.1080/21680566.2018.1453391
43. Tang, K.*, Chen, S., and Liu, Z., 2018. A Tensor-Based Bayesian Probabilistic Model for Citywide Travel Time Estimation Using Sparse Trajectories. Transportation Research Part C, 90, 260-280.
44. Xu, M., Meng*, Q., and Liu, Z., 2018. Electric vehicle fleet size and trip pricing for one-way carsharing services considering vehicle relocation and personnel assignment, Transportation Research Part B, 111, 60-82.
45. Huang, D., Liu, Z.*, Fu, X. and Blythe, P.T., 2018. Bus Network Design in a Multimodal Hub-and-Spoke Network Framework. Transportmetrica A. 14(8), 706-735.
46. Tang, K., Chen, S.* and Liu, Z., 2018. Citywide Spatial-temporal Travel Time Estimation Using Big and Sparse Trajectories. IEEE Transactions on Intelligent Transport Systems, 99, 1-12.
47. Gu, Z., Saberi, M.*, Sarvi, M., Liu, Z., 2018. A big data approach for clustering and calibration of link fundamental diagrams for large-scale network simulation applications. Transportation Research Part C, 94, 151-171.
48. Huang, K., Liu, Z.*, Kim, Y., Zhang, Y., Zhu, T., 2018. Analysis of the influencing factors of carpooling schemes. IEEE Intelligent Transportation Systems Magazine. in press.
49. Chen, J., Wang, S., Liu, Z.*, and Guo, Y., 2018. Network-based optimization modeling of manhole setting for pipeline transportation, Transportation Research Part E, 113, 38-55.
50. Liu, Z., Yu, B., Gu, Z.*, Zhong, N., 2018. Intermodal Transportation of Modular Structure Unit, World Review of Intermodal Transportation Research, 7(2), 99-123.
51. Liu, Z.*, Wang, S., Zhou, B., and Cheng, Q., 2017. Robust Optimization of Distance-based Tolls in a Network Considering Stochastic Day to Day Dynamics, Transportation Research Part C, 79, 58-72.
52. Liu, Z.*, Wen, Y., Wang, S. and Chen, J., 2017. On the Uniqueness of User Equilibrium Flow with Speed Limit, Networks and Spatial Economics, 17(3), 763-775.
53. Wang, S., Liu, Z.*, and Qu, X., 2017. Weekly Container Delivery Pattern in Liner Shipping Planning Models, Maritime Policy & Management.DOI: 10.1080/03088839.2017.1295327
54. Chen, J., Wang, S., Liu, Z.*, and Wang, W., 2017. Design of Suburban Bus Route for Airport Access. Transportmetrica Part A, 13(6), 568-589.
55. Huang, D., Liu, Z.*, Liu, P, Chen, J., 2016. Optimal transit fare and service frequency of a nonlinear origin destination-based fare structure, Transportation Research Part E, 96, 1-19.
56. Liu, Z.*, Wang, S., Chen, W. and Zheng, Y., 2016. Willingness to Board: A Novel Concept for Modeling Queuing Up Passengers, Transportation Research Part B, 90, 70-82.
57. Gu, Z., Liu, Z.*, Nirajan S. and Yang, M., 2016. Video-based analysis of school students’ emergency evacuation behavior in earthquakes, International Journal of Disaster Risk Reduction, 18, 1-11.
58. Chen, J., Liu, Z.*, Zhu, S., and Wang, W., 2015. Design of limited-stop bus service with capacity constraint and stochastic travel time, Transportation Research Part E, 83, 1-15.
59. Wang, S.*, Liu, Z., Bell, M., 2015. Profit-based maritime container assignment models for liner shipping networks, Transportation Research Part B, 72, 59-76.
60. Liu, Z. and Bie, Y.*, 2015. Comparison of Hook-turn Scheme with U-turn Scheme Based on the Actuated Traffic Control Algorithm, Transportmetrica A, 11(6), 484-501.
61. Liu, Z.*, Wang, S., Meng, Q., 2014. Optimal Joint Distance and Time Toll for Cordon-based Congestion Pricing, Transportation Research Part B, 69, 81-97.
62. Zheng, Z.*, Liu, Z., Liu, C. and Shiwakoti, N., 2014. Understanding public response to a congestion charge: a random-effects ordered logit approach using revealed and stated preference data, Transportation Research Part A, 70, 117-134.
63. Wang, S., Liu, Z., Meng, Q.*, 2014. Segment-based alteration for container liner shipping network design, Transportation Research Part B, 72, 128-145.
64. Liu, Z.* and Meng, Q., 2014. Bus-based park-and-ride system: a stochastic model on multimodal network with congestion pricing schemes, International Journal of Systems Science, 45(5), 994-1006.
65. Meng, Q., Liu, Z.* and Wang S., 2014. Asymmetric Stochastic User Equilibrium Problem with Link Capacity Constraints and Elastic Demand, Transportmetrica A. 10(4), 304-326.
66. Liu, Z.*, Meng, Q., Wang S., 2014. Variational inequality model for cordon-based congestion pricing under side constrained stochastic user equilibrium conditions, Transportmetrica A, 10(8), 693-704.
67. Liu, Z., Meng, Q.*, Wang, S., Sun, Z., 2014. Global Intermodal Liner Shipping Network Design, Transportation Research Part E, 61, 28-39.
68. Wang, S., Meng, Q. and Liu, Z.*, 2013. A Note on “Berth Allocation Considering Fuel Consumption and Vessel Emissions, Transportation Research Part E, 49(1), 48-54.
69. Qu, X., Meng, Q. and Liu, Z.*, 2013. Estimation of number of fatalities caused by toxic gases due to fire in road tunnels, Accident Analysis and Prevention,50, 616-621.
70. Wang, S., Meng, Q.*, Liu, Z., 2013. Fundamental properties of volume-capacity ratio of a private toll road in general networks, Transportation Research Part B, 47, 77-86.
71. Wang, S., Meng, Q.* and Liu, Z., 2013. Bunker Consumption Optimization Methods in Shipping: A Critical Review and Extensions, Transportation Research Part E, 53, 49-62.
72. Liu, Z. and Meng, Q.* and Wang, S., 2013. Speed-based Toll Design for Cordon-Based Congestion Pricing Scheme, Transportation Research Part C, 31, 83-98.
73. Wang, S., Meng, Q.*, and Liu, Z., 2013. Containership scheduling with transit-time-sensitive container shipment demand, Transportation Research Part B, 54, 68-83.
74. Liu, Z., Yan, Y.*, Qu, X., and Zhang, Y. 2013. Bus stop-skipping scheme with random travel time, Transportation Research Part C, 35, 46-56.
75. Meng, Q.*, Wang, S. and Liu, Z., 2012. Network Design for Shipping Service of Large-scale intermodal liners, Transportation Research Record, 2269, 42-50.
76. Meng, Q., Liu, Z.* and Wang, S., 2012. Optimal Distance-based Toll Design for Cordon-based Congestion Pricing Scheme with Continuously Distributed Value-of-time, Transportation Research Part E, 48(5), 937-957.
77. Meng, Q.* and Liu, Z., 2012. Mathematical Models and Computational Algorithms for Probit-based Asymmetric Stochastic User Equilibrium Problem with Elastic Demand, Transportmetrica A, 8(4), 261-290.
78. Meng, Q.* and Liu, Z., 2012. Impact Analysis of Cordon-based Congestion Pricing Scheme on Mode-Split of Bimodal Transportation Network, Transportation Research Part C, 21(1), 134-147.
79. Meng, Q.* and Liu, Z., 2011. Trial-and-Error Method for Congestion Pricing Scheme under Side-Constrained Probit-Based Stochastic User Equilibrium Conditions, Transportation, 38(5), 819-843.
