刘志远：

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, in press

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.

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.  

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

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

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

Bie, Y., Liu, Z.*, 2016. Evaluation of a Signalized Intersection with Hook Turns under Traffic Actuated Control Circumstance. Journal of Transportation Engineering. DOI: 10.1061/28ASCE29TE.1943-5436.0000763

Bie, Y., Liu, Z.*, Lu, L., 2016. A Signal Coordination Algorithm for Adjacent Hook-turn Intersections. Journal of Advanced Transportation, 50(2), 197-213.

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.

Wang, S.*, Liu, Z., Bell, M., 2015. Profit-based maritime container assignment models for liner shipping networks, Transportation Research Part B, 72, 59-76.

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.

Wang, S., Liu, Z.*, and Qu, X., 2015. Collaborative mechanisms for berth allocation, Advanced Engineering Informatics, 29(3), 332–338.

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.

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.

Liu, Z.*, Wang, S. and Meng, Q., 2014. Toll pricing framework under logit-based stochastic user equilibrium constraints, Journal of Advanced Transportation, 48, 1121-1137.

 Wang, S., Liu, Z., Meng, Q.*, 2014. Segment-based alteration for container liner shipping network design, Transportation Research Part B, 72, 128-145.

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.

 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.

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.

Liu, Z., Meng, Q.*, Wang, S., Sun, Z., 2014. Global Intermodal Liner Shipping Network Design, Transportation Research Part E, 61, 28-39.

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.

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.

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.

Bie, Y., Liu, Z., Ma, D.*, Wang, D., 2013. Calibration of platoon dispersion parameter considering the impact of number of lanes, Journal of Transportation Engineering, 139(2), 200-207.

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.

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.

Wang, S., Meng, Q.*, and Liu, Z., 2013. Containership scheduling with transit-time-sensitive container shipment demand, Transportation Research Part B, 54, 68-83.

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.

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.

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.

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.

付晓：

Xiao Fu, William H.K. Lam, Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks, Transportation, 2018, 45: 23-49.

Y. Gu#, Xiao Fu#, Z. Liu, X. Xu, A. Chen, Performance of transportation network under perturbations: Reliability, vulnerability, and resilience, 2019, Transportation Research Part E.

J. Huo, Q. Zhang, Z. Liu, Xiao Fu*. Short-term Passenger Flow Prediction in Urban Hotspots

Based on Mobile Phone Data. Transportation Research Board (TRB) 2020.

Xiao Fu, J. Zhang, Y. Zhang, B.Y. Chen, Z. Liu. Online map matching based on higher-order hidden Markov model. Transportation Research Board (TRB) 2020. (Best of papers submitted to ABJ60 and ABJ20).

C. Yang, Xiao Fu*, Z. Liu. Estimating Joint Activity/Travel Benefit Based on Travel Characteristics Survey Data. Transportation Research Board (TRB) 2020.

Xiao Fu, Y. Gu, Impact of a new metro line: Analysis of metro passenger flow and travel time based on smart card data, Journal of Advanced Transportation, 2018: 1-13.

Xiao Fu, M. Li, X. Lu, X. Cai. Measurement of Space-time Accessibility to Service Facilities Considering Travel Time Uncertainty, Joumal of Transportation Systems Engineering and Information Technology. 2019.

M. Xu, Xiao Fu*, J. Tang, Z. Liu. Investigating the effects of weather factors on spatial and temporal distributions of metro passenger flows: an empirical study based on smart card data, Progress in Geography. 2019.

Xiao Fu, Y. Gu, Z. Liu, William H.K. Lam, Anthony Chen, Modelling activity and travel choice behaviour in multi-modal transit networks with customized bus services, The 14th International Conference for the International Association for Travel Behaviour Research, Santa Barbara, USA, 2018.

Xiao Fu, M. Li, William H.K. Lam. Measuring joint space-time accessibility under travel time uncertainty, The 23th International Conference of Hong Kong Society for Transportation Studies. 2018. Hong Kong.

Y. Gu, Xiao Fu*, Z. Liu, et al. Measuring Connectivity of Multi-Modal Transit Network with Customized Bus Services: an Activity-Based Approach，The 18th COTA International Conference of Transportation Professionals 2018, Beijing.

D. Huang, Z. Liu, Xiao Fu, et al. Multimodal transit network design in a hub-and-spoke network framework, Transportmetrica A: Transport Science, 2018, 14:8, 706-735.

Xiao Fu, William H.K. Lam, Yiliang Xiong, Modelling intra-household interactions in household’s activity-travel scheduling behaviour, Transportmetrica A: Transport Science, 2016, 12: 612-628.

Xiao Fu, William H.K. Lam. A prospect-based network equilibrium approach for modeling household activity-travel choice behavior over time. The 6^th International Symposium on Dynamic Traffic Assignment. 2016. Sydney.

Xiao Fu, William H.K. Lam，Yiliang Xiong, Calibration Methods and Results for Activity-Travel Scheduling Models, Journal of the Eastern Asia Society for Transportation Studies, 2015, 11:640-652.

Xiao Fu, William H.K. Lam, A Network Equilibrium Approach for Modelling Activity-Travel Pattern Scheduling Problems in Multi-modal Transit Networks, Transportation, 2014, 41: 37-55.

Xiao Fu, William H.K. Lam, Qiang Meng, Modelling Impacts of Adverse Weather Conditions on Activity-Travel Pattern Scheduling in Multi-modal Transit Networks, Transportmetrica B: Transport Dynamics, 2014, 2: 151-167.

Xiao Fu, William H.K. Lam, Bi Yu Chen, A Reliability-based Traffic Assignment Model for Multi-modal Transport Network under Demand Uncertainty, Journal of Advanced Transportation, 2014, 48: 66-85.

李大韦：

D. Li, T. Miwa, C. Xu, and Z. Li, “Non-linear fixed and multi-level random effects of origin–destination specific attributes on route choice behaviour,” IET Intell. Transp. Syst., vol. 13, no. 4, pp. 654-660(6), 2019.

D. Li, T. Miwa, and T. Morikawa, “Modeling time-of-day car use behavior: A Bayesian network approach,” Transp. Res. Part D Transp. Environ., vol. 47, pp. 54–66, 2016.

D. Li, T. Miwa, T. Morikawa, and P. Liu, “Incorporating observed and unobserved heterogeneity in route choice analysis with sampled choice sets,” Transp. Res. Part C Emerg. Technol., vol. 67, pp. 31–46, 2016.

D. Li, T. Miwa, and T. Morikawa, “Considering En-Route Choices in Utility-Based Route Choice Modelling,” Networks Spat. Econ., vol. 14, no. 3–4, pp. 581–604, 2014.

D. Li, T. Miwa, and T. Morikawa, “Analysis of Vehicles’ Daily Fuel Consumption Frontiers with Long-Term Controller Area Network Data,” Transp. Res. Rec. J. Transp. Res. Board, no. 2503, pp. 100–109, 2015.

D. Li, T. Miwa, and T. Morikawa, “Analysis of Car Usage Time Frontiers Incorporating Both Inter-and Intraindividual Variation with GPS Data,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2413, no. 1, pp. 13–23, 2014.

D. Li, T. Miwa, and T. Morikawa, “Dynamic Route Choice Behavior Analysis Considering En Route Learning and Choices,” Transp. Res. Rec. J. Transp. Res. Board, no. 2383, pp. 1–9, 2013.

D. Li, T. Miwa, and T. Morikawa, “Use of Private Probe Data in Route Choice Analysis to Explore Heterogeneity in Drivers’ Familiarity with Origin-Destination Pairs,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2338, no. 1, pp. 20–28, 2013.

D. Li, T. Miwa, and T. Morikawa, “Dynamic Route Choice Behavior Analysis Considering En Route Learning and Choices,” Transp. Res. Rec. J. Transp. Res. Board, vol. 2383, no. 1, pp. 1–9, 2013.

D. Li, L. Cheng, and J. Ma, “Incident Duration Prediction Based on Latent Gaussian Naive Bayesian classifier,” Int. J. Comput. Intell. Syst., vol. 4, no. 3, pp. 345–352, 2011.

D. Li, C. Li, T. Miwa, and T. Morikawa, “An exploration of factors affecting drivers’ daily fuel consumption efficiencies considering multi-level random effects,” Sustainability, vol. 11, no. 2, 2019.

J. Ma, L. Cheng, D. Li, and Q. Tu, “Stochastic Electric Vehicle Network Considering Environmental Costs,” Sustainability, vol. 10, no. 8, p. 2888, Aug. 2018.

Q. Tu, L. Cheng, D. Li, J. Ma, and C. Sun, “Stochastic Transportation Network Considering ATIS with the Information of Environmental Cost,” Sustainability, vol. 10, no. 11, p. 3861, 2018.

X. Lou, L. Cheng, D. Li, S. Zhu, and J. Zhou, “Modeling Day-to-Day Dynamics of Travelers’ Risky Route Choices under the Influence of Predictive Traffic Information,” Transp. Res. Rec., vol. 0, no. 0, p. 0361198118773565, 2018.

J. Ma, D. Li, L. Cheng, X. Lou, C. Sun, and W. Tang, “Link Restriction: Methods of Testing and Avoiding Braess Paradox in Networks Considering Traffic Demands,” J. Transp. Eng. Part A Syst., vol. 144, no. 2, p. 4017076, 2018.

C.-J. Jin, R. Jiang, W. Wei, D. Li, and N. Guo, “Microscopic events under high-density condition in uni-directional pedestrian flow experiment,” Phys. A Stat. Mech. its Appl., vol. 506, pp. 237–247, 2018.

J. Ma, L. Cheng, and D. Li, “Road Maintenance Optimization Model Based on Dynamic Programming in Urban Traffic Network,” J. Adv. Transp., vol. 2018, p. 11, 2018.

C. Xu, D. Li, Z. Li, W. Wang, and P. Liu, “Utilizing structural equation modeling and segmentation analysis in real-time crash risk assessment on freeways,” Ksce J. Civ. Eng., no. 2, pp. 1–9, 2017.

C. J. Jin, R. Jiang, J. L. Yin, L. Y. Dong, and D. Li, “Simulating bi-directional pedestrian flow in a cellular automaton model considering the body-turning behavior,” Phys. A Stat. Mech. its Appl., vol. 482, pp. 666–681, 2017.

M. Yang, J. J. Wu, S. Rasouli, C. Cirillo, and D. W. Li, “Exploring the impact of residential relocation on modal shift in commute trips: Evidence from a quasi-longitudinal analysis,” Transp. Policy, vol. 59, pp. 142–152, 2017.

Z. Li, C. Xu, D. Li, P. Liu, and W. Wang, “Comparing the Effects of Ramp Metering and Variable Speed Limit on Reducing Travel Time and Crash Risk at Bottlenecks,” IET Intell. Transp. Syst., 2017.

D. Li,X. Hu, C. J. Jin, and J. Zhou, “Learning to Detect Traffic Incidents from Data Based on Tree Augmented Naive Bayesian Classifiers,” Discret. Dyn. Nat. Soc., vol. 2017, no. 1, pp. 1–9, 2017.

S. Zhu, Y. Guo, J. Chen, D. Li, and L. Cheng, “Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation,” Sensors, vol. 17, no. 8, p. 1767, 2017.

张文波：

Zhang, W., Honnappa, H., and Ukkusuri, S.V.*. Modeling urban taxi service with e-hailings: a queueing networks approach. Transportation Research Part C. 2019. DOI: https://doi.org/10.1016/j.trc.2019.05.036

Zhang, W., Le, T., Ukkusuri, S.V.*, and Li, R. Influencing factors and heterogeneity in ridership of traditional and app based taxi systems. Transportation. 2018. DOI: https://doi.org/10.1007/s11116-018-9931-2

Zhang, W., Ukkusuri, S.V.*, and Yang, C. Modeling the Taxi Drivers’ Customer-Searching Behaviors outside Downtown Areas. Sustainability, 10(9). 2018. DOI: https://doi.org/10.3390/su10093003

Qian, X., Zhang, W., Ukkusuri, S.V.*, and Yang, C. Optimal Assignment and Incentive Design in the Taxi Group Ride Problem. Transportation Research Part B, 103, 208-226. 2017. DOI: http://dx.doi.org/10.1016/j.trb.2017.03.001

Zhang, W., Ukkusuri, S.V.*, and Lu, J.J.. Impacts of urban built environment on empty taxi trips using limited geo-location data. Transportation, 44(6), 1445-1473, 2017. DOI: http://dx.doi.org/10.1007/s11116-016-9709-3

Zhang, W., Ukkusuri, S.V.*. Optimal Fleet Size and Fare Setting in Emerging Taxi Markets with Stochastic Demand. Computer-Aided Civil and Infrastructure Engineering, 31(9), 2016: 647-660. DOI: http://dx.doi.org/10.1111/mice.12203

Ma, Y., Lu, J.J.*, Zhang, W., Zhao, J. Development of a Comprehensive Model for Highway Bridge Maintenance Quality Evaluation. Transportation Research Record, no.2292, 2012: pp.150-159. DOI: http://dx.doi.org/10.3141/2292-18

Zhang, W., and Ukkusuri, S.V.* Flexible Supply of App-based Taxi Services: Modeling the Driver Partners' Platform-Exiting Behaviors. IEEE ITSC 2019.

Zhang, W., Honnappa, H., and Ukkusuri, S.V.* Modeling urban taxi service with e-hailings: a queueing networks approach. In The 23nd International Symposium on Transportation and Traffic Theory (ISTTT23), Lausanne, Switzerland, July 2019

Zhang, W., Kumar, D., and Ukkusuri, S.V.* Exploring the dynamics of surge pricing in mobility-on-demand taxi services. In 2017 IEEE International Conference on Big Data, Boston, USA, 2017.

Zhang, W., Qian, X.,and Ukkusuri, S.V.*.The Evolution of Spatial-Temporal Patterns in Taxi Operation. In the 96th Annual Meeting of Transportation Research Board, Washington D.C., 2017.

Zhang, W., Le, T., and Ukkusuri, S.V.* The spatial autoregressive simultaneous equation model for daily taxi and uber ridership. In the 96th Annual Meeting of Transportation Research Board, Washington D.C., 2017.

Zhang, W., and Ukkusuri, S.V.*.How vacant taxi drivers find the next customer? Empirical findings on vacant taxi customer-search behaviors. In the 95th Annual Meeting of Transportation Research Board, Washington D.C., 2016.

Zhang, W., Ukkusuri, S.V.*, and Lu, J.J.. Identifying the determinants of the empty taxi trip duration using limited geo-location data. In the 95th Annual Meeting of Transportation Research Board, Washington D.C., 2016.

Lu, J.J.*, Zhang, W., Sheng, F. BPANN Model Development for Predicting Speed Standard Deviation to Evaluate Safety Performance on Freeway Exit Ramps. In the 91^st Annual Meeting of Transportation Research Board, Washington D.C., 2012.