Xuesong Zhou

Xuesong Zhou

Professor,
School of Sustainable Engineering and the Built Environment
  • xzhou74@asu.edu
  • Mail code: 3005
    Campus: Tempe
  • ‌
Biography Research Teaching Public Work
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Long Bio

Xuesong (Simon) Zhou is a Professor of Transportation Systems at the School of Sustainable Engineering and the Built Environment, Arizona State University (ASU), Tempe, Arizona. Dr. Zhou's research focuses on developing methodological advancements in multimodal transportation planning applications, including dynamic traffic assignment, traffic estimation and prediction, large-scale routing, and rail scheduling. Dr. Zhou serves as an Associate Editor of Transportation Research Part C, an Executive Editor-in-Chief of Urban Rail Transit, and an Editorial Board Member of Transportation Research Part B. He was the former Chair of INFORMS Rail Application Section (2016) and currently serves as a subcommittee chair of the TRB Committee on Transportation Network Modeling (AEP40).

Dr. Zhou is the Director of the ASU Transportation+AI Lab, where he is the principal architect and programmer for several open-source packages, including DTALite, NEXTA, and OSM2GMNS, which have collectively received over 100,000 downloads and many system deployments at various metropolitan planning agencies and state DOTs. He has published over 100 papers in Transportation Research Part B, Transportation Research Part C, and other leading transportation journals, with an H-index of 60 and a total of 11,000 citations in Google Scholar. 

In addition to his academic achievements, Dr. Zhou is passionate about connecting practitioners, researchers, academics, students, and others involved in transportation planning and travel modeling. He serves as the conference chair for the TRB Innovations in Travel Analysis and Planning Conference in 2023, and a board member of Zephyr Foundation, a non-profit organization dedicated to advancing transportation research and education.

Education
  • Ph.D. Dept. of Civil and Environmental Engineering, University of Maryland-College Park 2004
  • B.S. Railroad Management Engineering, Beijing Jiaotong University, Beijing, China 1995 
CV
Curriculum Vitae
Research Website URL
https://github.com/asu-trans-ai-lab
Google Scholar URL
https://scholar.google.com/citations?user=nHfUCoUAAAAJ&hl=en
ORCID Profile ID
https://orcid.org/0000-0002-9963-5369
Research Interests

Transportation planning: Dynamic traffic assignment, traffic demand analysis

Transportation system operations and control: Traffic flow estimation and prediction, traffic flow theory, real-time traveler information system

Logistics and intermodal transportation systems: Train timetabling and real-time dispatching, scheduling for transit, rail and seaport systems

Computer applications for Intelligent Transportation Systems: Visualization analytics, distributed computing and communications

Operations research: Nonlinear programming, integer programming, network optimization

Publications
  1. Lu, J., Zhou, X. (*). (2023) Virtual Track Networks: A Hierarchical Modeling Framework and Open-Source Tools for Simplified and Efficient CAM System Design. Transportation Research Part C: Emerging Technologies. 153, 104223.
  2. Lu, J., Li. C., Wu. X. , Zhou, X. (*) (2023)Joint freeway traffic state and queue profile estimation using heterogeneous data sources: Differentiable programming reformulation on a layered computational graph. Transportation Research Part C: Emerging Technologies. 153. 104224.
  3. Niu Z, Wu S, Zhou X(*). Efficient Mathematical Lower Bounds for City Logistics Distribution Network with Intra-Echelon Connection of Facilities: Bridging the Gap from Theoretical Model Formulations to Practical Solutions. Algorithms. 2023; 16(5):252.
  4. Zhou, X., (*), Cheng, Q., Wu, X. , Li, P., Belezamo, B., Lu, J., & Abbasi, M. (2022). A meso-to-macro cross-resolution performance approach for connecting polynomial arrival queue model to volume-delay function with inflow demand-to-capacity ratio. Multimodal Transportation, 1(2), 100017. 2022 Best Article Award in Multimodal Transportation
  5. Zhang, Y., Peng, Q., Lu, G., Zhong, Q., Yan, X., & Zhou, X. (2022). Integrated line planning and train timetabling through price-based cross-resolution feedback mechanism. Transportation Research Part B: Methodological, 155, 240-277.
  6. Cheng, Q. , Liu, Z., Lin, Y., & Zhou, X. (*) (2021). An s-shaped three-parameter (S3) traffic stream model with consistent car following relationship. Transportation Research Part B: Methodological, 153, 246-271.
  7. Kim, T., Zhou, X., & Pendyala, R. M. (2022). Computational graph-based framework for integrating econometric models and machine learning algorithms in emerging data-driven analytical environments. Transportmetrica A: Transport Science, 18(3), 1346-1375.
  8. Lu, J., Nie, Q., Mahmoudi, M., Ou, J., Li, C., & Zhou, X. (*) (2022). Rich arc routing problem in city logistics: Models and solution algorithms using a fluid queue-based time-dependent travel time representation. Transportation Research Part B: Methodological, 166, 143-182.
  9. Song, Y., Hu, X., Lu, J., & Zhou, X. (2022). Analytical approximation and calibration of roundabout capacity: A merging state transition-based modeling approach. Transportation research part B: methodological, 163.
  10. Wu, X. , Lu, J., Wu, S., Zhou. X. (2021). Synchronizing time-dependent transportation services: Reformulation and solution algorithm using quadratic assignment problem. Transportation Research Part B: Methodological, 152, 140-179.
  11. Mahmoudi, M., Garikapati, V., Tong, L., Zhou, X., Pendyala, R. (2021). How many trip requests could we support? An activity-travel based vehicle scheduling approach. Transportation Research Part C: Emerging Technologies, 128, 103222.
  12. Tang, Q., Hu, X., Lu J., Zhou, X. (2021), Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem. Transportation research part B: methodological. 148, 106-131
  13. Li, J., Xu, Z., Fu, L., Zhou, X., & Yu, H. (2021). Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework. Transportation Research Part C: Emerging Technologies, 124, 102946.
  14. Wang, Y., Peng, S., Zhou, X., Mahmoudi, M., & Zhen, L. (2020). Green logistics location-routing problem with eco-packages. Transportation Research Part E: Logistics and Transportation Review, 143, 102118.
  15. Kim, T., Sharda, S., Zhou, X., & Pendyala, R. M. (2020). A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service. Transportation Research Part C: Emerging Technologies, 120, 102786.
  16. Liu, J., Mirchandani, P., & Zhou, X*. (2020). Integrated vehicle assignment and routing for system-optimal shared mobility planning with endogenous road congestion. Transportation Research Part C: Emerging Technologies, 117, 102675.
  17. Lu, K., Liu, J., Zhou, X., & Han, B. (2020). A Review of Big Data Applications in Urban Transit Systems. IEEE Transactions on Intelligent Transportation Systems. 1-18.
  18. Chen, X. , He, S., Zhang, Y., Tong, L. C., Shang, P. , & Zhou, X*. (2020). Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation framework. Transportation Research Part C: Emerging Technologies, 114, 241-271.
  19. Lu, W., Liu, L., Wang, F., Zhou, X., & Hu, G. (2020). Two-phase optimization model for ride-sharing with transfers in short-notice evacuations. Transportation research part C: emerging technologies, 114, 272-296.
  20. Xiong, C., Shahabi, M., Zhao, J., Yin, Y., Zhou, X., & Zhang, L. (2020). An integrated and personalized traveler information and incentive scheme for energy efficient mobility systems. Transportation Research Part C: Emerging Technologies, 113, 57-73.
  21. Wang, P. S., Li, P. T., Chowdhury, F. R., Zhang, L., & Zhou, X. (2020). A mixed integer programming formulation and scalable solution algorithms for traffic control coordination across multiple intersections based on vehicle space-time trajectories. Transportation research part B: methodological, 134, 266-304.
  22. Chen, Z., Li, X., & Zhou, X. (2020). Operational design for shuttle systems with modular vehicles under oversaturated traffic: Continuous modeling method. Transportation Research Part B: Methodological, 132, 76-100.
  23. Li, L., Jiang, R., He, Z., Chen, X. M., & Zhou, X*. (2020). Trajectory data-based traffic flow studies: A revisit. Transportation Research Part C: Emerging Technologies, 114, 225-240.
  24. Shang, P. ∞, Li, R., Guo, J., Xian, K., Zhou, X (*). (2019). Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach. Transportation Research Part B: Methodological, 121, 135-167.
  25. Sun, J., Guo, J., Wu, X. , Zhu, Q., Wu, D., Xian, K., Zhou, X. (2019). Analyzing the Impact of Traffic Congestion Mitigation: From an Explainable Neural Network Learning Framework to Marginal Effect Analyses. Sensors, 19(10), 2254.
  26. Mahmoudi, M., Song, Y., Miller, H. J., Zhou, X. (2019). Accessibility with time and resource constraints: Computing hyper-prisms for sustainable transportation planning. Computers, Environment and Urban Systems, 73, 171-183.
  27. Mahmoudi, M., Chen, J., Shi, T., Zhang, Y., & Zhou, X*. (2019). A cumulative service state representation for the pickup and delivery problem with transfers. Transportation Research Part B: Methodological, 129, 351-380.
  28. Yao, Y., Zhu, X., Dong, H., Wu, S., Wu, H., Tong, L.  C., & Zhou, X*. (2019). ADMM-based problem decomposition scheme for vehicle routing problem with time windows. Transportation Research Part B: Methodological, 129, 156-174.
  29. Zhang, Y., Peng, Q., Yao, Y., Zhang, X., & Zhou, X*. (2019). Solving cyclic train timetabling problem through model reformulation: Extended time-space network construct and Alternating Direction Method of Multipliers methods. Transportation Research Part B: Methodological, 128, 344-379.
  30. Liu, J., & Zhou, X.* (2019). Observability quantification of public transportation systems with heterogeneous data sources: An information-space projection approach based on discretized space-time network flow models. Transportation Research Part B: Methodological, 128, 302-323.
  31. Meng, L., & Zhou, X.* (2019). An integrated train service plan optimization model with variable demand: A team-based scheduling approach with dual cost information in a layered network. Transportation Research Part B: Methodological, 125, 1-28.
  32. Yin, J., Yang, L., Zhou, X., Tang, T., & Gao, Z. (2019). Balancing a one-way corridor capacity and safety-oriented reliability: A stochastic optimization approach for metro train timetabling. Naval Research Logistics (NRL), 66(4), 297-320.
  33. Chen, Z., Li, X., & Zhou, X. (2019). Operational design for shuttle systems with modular vehicles under oversaturated traffic: Discrete modeling method. Transportation Research Part B: Methodological, 122, 1-19.
  34. Tong, L., Pan, Y., Shang, P. , Guo, J., Xian, K., & Zhou, X. (2019). Open-source public transportation mobility simulation engine Dtalite-s: A discretized space–time network-based modeling framework for bridging multi-agent simulation and optimization. Urban Rail Transit, 5(1), 1-16.
  35. Bu, L., Wang, F., Zhou, X., Yin, C. (2018). Managed gating control strategy for emergency evacuation. Transportmetrica A: Transport Science, 1-30.
  36. Li, S., Zhou, X., Yang, L., Gao, Z. (2018). Automatic train regulation of complex metro networks with transfer coordination constraints: A distributed optimal control framework. Transportation Research Part B: Methodological, 117, 228-253.
  37. Wu, X. (X), Guo, J., Xian, K., Zhou, X (*). (2018). Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph. Transportation Research Part C: Emerging Technologies, 96, 321-346.
  38. Xiong, C., Zhou, X., Zhang, L. (2018). AgBM-DTALite: An integrated modelling system of agent-based travel behaviour and transportation network dynamics. Travel Behaviour and Society, 12, 141-150.
  39. Zhou, X., Tong, L., Mahmoudi, M., Zhuge, L., Yao, Y., Zhang, Y., Shang, P., Shi, T. (2018). Open-source VRPLite package for vehicle routing with pickup and delivery: a path finding engine for scheduled transportation systems. Urban Rail Transit, 4 (2), 68–85.
  40. Lu, K., Han, B., Zhou, X. (2018). Smart urban transit systems: from integrated framework to interdisciplinary perspective. Urban Rail Transit, 4(2), 49-67.
  41. Niu, H., Zhou, X., Tian, X. (2018). Coordinating assignment and routing decisions in transit vehicle schedules: A variable-splitting Lagrangian decomposition approach for solution symmetry breaking. Transportation Research Part B: Methodological, 107, 70-101.
  42. Tong, L. C., Zhou, L., Liu, J., Zhou, X. (2017). Customized bus service design for jointly optimizing passenger-to-vehicle assignment and vehicle routing. Transportation Research Part C: Emerging Technologies, 85, 451-475.
  43. Wei, Y., Avcı, C. , Liu, J., Belezamo, B., Aydın, N., Li, P. T (X)., Zhou, X (*). (2017). Dynamic programming-based multi-vehicle longitudinal trajectory optimization with simplified car following models. Transportation Research Part B: Methodological, 106, 102-129.
  44. Li, P. T. (X), Zhou, X. (2017). Recasting and optimizing intersection automation as a connected-and-automated-vehicle (CAV) scheduling problem: A sequential branch-and-bound search approach in phase-time-traffic hypernetwork. Transportation Research Part B: Methodological, 105, 479-506.
  45. Song, Y., Miller, H. J., Stempihar, J. (X), Zhou, X. (2017). Green accessibility: Estimating the environmental costs of network-time prisms for sustainable transportation planning. Journal of Transport Geography, 64, 109-119.
  46. Li, M., Rouphail, N. M., Mahmoudi, M., Liu, J., Zhou, X (*). (2017). Multi-scenario optimization approach for assessing the impacts of advanced traffic information under realistic stochastic capacity distributions. Transportation Research Part C: Emerging Technologies, 77, 113-133.
  47. Zhou, L., Tong, L. C., Chen, J., Tang, J., Zhou, X. (2017). Joint optimization of high-speed train timetables and speed profiles: A unified modeling approach using space-time-speed grid networks. Transportation Research Part B: Methodological, 97, 157-181.
  48. Li, M., Zhou, X. (*), Rouphail, N. M. (2017). Quantifying travel time variability at a single bottleneck based on stochastic capacity and demand distributions. Journal of Intelligent Transportation Systems, 21(2), 79-93.
  49. Qu, Y. (X), Zhou, X (*). (2017). Large-scale dynamic transportation network simulation: A space-time-event parallel computing approach. Transportation Research Part C: Emerging Technologies, 75, 1-16.
  50. Li, W., Yang, L., Wang, L., Zhou, X., Liu, R., Gao, Z. (2017). Eco-reliable path finding in time-variant and stochastic networks. Energy, 121, 372-387.
  51. Yang, L., Zhou, X. (2016). Optimizing on-time arrival probability and percentile travel time for elementary path finding in time-dependent transportation networks: Linear mixed integer programming reformulations. Transportation Research Part B: Methodological, 96, 68-91. (Highly Cited Papers by ESI)
  52. Lu, C.C., Liu, J., Qu, Y. (X), Peeta, S., Rouphail, N.M. and Zhou, X (*). (2016) Eco-system optimal time-dependent flow assignment in a congested network. Transportation Research Part B: Methodological, 94, 217–239.
  53. Liu, J., Zhou, X (*). (2016). Capacitated transit service network design with boundedly rational agents. Transportation Research Part B: Methodological, 93, 225-250 (Cited 91 times)
  54. Wang, L, L Yang, Z Gao, S Li, X Zhou. (2016). Evacuation planning for disaster responses: A stochastic programming framework. Transportation Research Part C: Emerging Technologies, 69, 150-172
  55. Mahmoudi, M., Zhou, X (*). (2016) Finding Optimal Solutions for Vehicle Routing Problem with Pickup and Delivery Services with Time Windows: A Dynamic Programming Approach Based on State-space-time Network Representations. Transportation Research Part B: Methodological, 89, 19–42. (Cited 287 times, 6th most cited papers in Transportation Research Part B since 2015)
  56. Vallamsundar, S., Lin, J., Konduri, K., Zhou, X., Pendyala, RM. (2016). A comprehensive modeling framework for transportation-induced population exposure assessment. Transportation Research Part D: Transport and Environment, 46, 94-113.
  57. Tang, J. (X), Song, Y., Miller, H. J., Zhou, X (*). (2016). Estimating the most likely space–time paths, dwell times and path uncertainties from vehicle trajectory data: A time geographic method. Transportation Research Part C: Emerging Technologies, 66, 176-194.
  58. Ma, J., Smith, B. L., Zhou, X (*). (2016). Personalized real-time traffic information provision: Agent-based optimization model and solution framework. Transportation Research Part C: Emerging Technologies, 64, 164-182.
  59. Ruan, J. M., Liu, B., Wei, H., Qu, Y. (X), Zhu, N., Zhou, X. (2016). How many and where to locate parking lots? A space–time accessibility-maximization modeling framework for special event traffic management. Urban Rail Transit, 2(2), 59-70.
  60. Li, P. (X), Mirchandani, P., Zhou, X (*). (2015). Solving simultaneous route guidance and traffic signal optimization problem using space-phase-time hypernetwork. Transportation Research Part B: Methodological, 81, 103-130.
  61. Tong, L. , Zhou, X. (*), Miller, H. J. (2015). Transportation network design for maximizing space–time accessibility. Transportation Research Part B: Methodological, 81, 555-576.
  62. Zhou, X. (*), Tanvir, S., Lei, H., Taylor, J. , Liu, B., Rouphail, N. M., Frey, H. C. (2015) Integrating a Simplified Emission Estimation Model and Mesoscopic Dynamic Traffic Simulator to Efficiently Evaluate Emission Impacts of Traffic Management Strategies. Transportation Research Part D: Transport and Environment. 37, 123-136.
  63. Niu, H., Tian, X., Zhou, X. (2015). Demand-driven train schedule synchronization for high-speed rail lines. IEEE Transactions on Intelligent Transportation Systems, 16(5), 2642-2652.
  64. Shi, T. , Zhou, X (*). (2015). A mixed integer programming model for optimizing multi-level operations process in railroad yards. Transportation Research Part B: Methodological, 80, 19-39. .
  65. Zhang, J., Jia, L., Niu, S., Zhang, F., Tong, L. , Zhou, X (*). (2015) A Space-Time Network-Based Modeling Framework for Dynamic Unmanned Aerial Vehicle Routing in Traffic Incident Monitoring Applications. Sensors, 15, 13874-13898.
  66. Niu, H., Zhou, X., Gao, R. (2015). Train scheduling for minimizing passenger waiting time with time-dependent demand and skip-stop patterns: Nonlinear integer programming models with linear constraints. Transportation Research Part B: Methodological, 76, 117-135. (Highly Cited Papers by ESI, 3rd most cited papers between 2015-2020 in Transportation Research Part B)
  67. Zlatkovic, M., Zhou, X. (2015). Integration of signal timing estimation model and dynamic traffic assignment in feedback loops: System design and case study. Journal of Advanced Transportation, 49(6), 683-699.
  68. Taylor, J., Zhou, X. (*), Rouphail, N., Porter, R.J. (2015). Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach. Transportation Research Part B, 73, 59-80.
  69. Przybyla, J., Taylor, J., Jupe, J., Zhou, X (*). (2015). Estimating risk effects of driving distraction: A dynamic errorable car-following model. Transportation Research Part C: Emerging Technologies. 50, 117–129
  70. Lei, H., Zhou, X. (*), List, G., Taylor, J. (2015). Characterizing Corridor-level Travel Time Distributions Based on Stochastic Flows and Segment Capacities. Cogent Engineering, 2: 990672.
  71. Zhou, X. (*), Taylor, J. (2014). DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration. Cogent Engineering, 1, 961345. (Cited 190 times, 8th most cited article in this journal).
  72. Tasic, I., Zhou, X., Zlatkovic, M. (2014). Use of spatiotemporal constraints to quantify transit accessibility: case study of potential transit-oriented development in West Valley City, Utah. Transportation Research Record, 2417(1), 130-138.
  73. Meng, L., Zhou, X (*). (2014). Simultaneous train rerouting and rescheduling on an N-track network: A model reformulation with network-based cumulative flow variables. Transportation Research Part B: Methodological, 67, 208-234. (Top-10 most cited papers since 2014 to 2018 in Transportation Research Part B)
  74. Lei, H., Zhou, X (*). (2014). Linear Programming Model for Estimating High-Resolution Freeway Traffic States from Vehicle Identification and Location Data. Transportation Research Record: Journal of the Transportation Research Board, 2421, 151-160.
  75. Yang, L, Zhou, X., Guo, Z. (2014). Credibility-Based Rescheduling Model in a Double-Track Railway Network: A Fuzzy Reliable Optimization Approach, Omega. 48, 75-93.
  76. Yang, L., Zhou, X (*). (2014). Constraint Reformulation and a Lagrangian Relaxation-based Solution Algorithm for a Least Expected Time Path Problem. Transportation Research Part B: Methodological, 59, 22-44. (Highly Cited Papers by ESI)
  77. Lu C-C, Zhou, X. (2014). Short-term Highway Traffic State Prediction Using Structural State Space Models. Journal of Intelligent Transportation Systems.  18 (3) 309-322.
  78. Niu, H., Zhou, X. (2013). Optimizing Urban Rail Timetable under Time-dependent Demand and Oversaturated Conditions. Transportation Research Part C: Emerging Technologies. 36, 212-230. (Highly Cited Papers by ESI)
  79. Deng, W. Lei H., Zhou, X (*). (2013). Freeway Traffic State Estimation and Uncertainty Quantification based on Heterogeneous Data Sources: A Three Detector Approach. Transportation Research Part B: Methodological. 57, 132-157.
  80. Lu C-C, Zhou, X. (*), Zhang, K. (2013). Dynamic Origin-Destination Demand Flow Estimation under Congested Traffic Conditions. Transportation Research Part C: Emerging Technologies. 34, 16-37.
  81. Xing, T., Zhou, X. (*), Taylor J. (2013). Designing Heterogeneous Sensor Networks for Estimating and Predicting Path Travel Time Dynamics: An Information-Theoretic Modeling Approach.  Transportation Research Part B: Methodological. 57, 66-90.
  82. Yang, L. Zhou, X., Gao, Z. (2013). Rescheduling trains with scenario-based fuzzy recovery time representation on two-way double-track railways. Soft Computing, 17(4), 605-616.
  83. Xing, T., Zhou, X (*).  (2013). Reformulation and Solution Algorithms for Absolute and Percentile Robust Shortest Path Problems. IEEE Transactions on Intelligent Transportation Systems. 99,1-12.
  84. Du, P., Tian. Z., Zhou, X. (2013). Path-Flow-Based Cross-Resolution Conversions for Simulation Model. Journal of Transportation Systems Engineering and Information Technology, 13(2) 27-33.
  85. Lei, H., Xing, T., Taylor, J., Zhou, X (*). (2012) Monitoring Travel Time Reliability from the Cloud: Cloud Computing–Based Architecture for Advanced Dissemination of Traffic Information. Journal of Transportation Research Board, 12-2992, 35–43.
  86. Jia, A., Zhou, X., Rouphail, N. M. (2012). Traffic Mobility Impact of Mileage-Based User Fees on Traveler Route Choice Behavior and Network Performance: Planning-Level Traffic Equilibrium-Based Approach. Journal of Transportation Research Board, 2302(1), 164-173.
  87. Kittelson, W., Rouphail, N., Williams, B., Zhou, X. (2011) Analyzing Operational Improvements as an Alternative to Traditional Highway Construction. Journal of Transportation Research Board, 11-2223, 18-25.
  88. Xing. T., Zhou, X (*).  (2011). Finding the Most Reliable Path With and Without Link Travel Time Correlation: A Lagrangian Substitution Based Approach, Transportation Research Part B: Methodological, 45 (10), 1660-1679.
  89. Meng, L., Zhou, X (*). (2011). Robust train dispatching model under a dynamic and stochastic environment: a scenario-based rolling horizon solution approach, Transportation Research Part B: Methodological, 45(7), 1080-1102.
  90. Chen, X., Zhou, X. (*), List, G. F. (2011). Using time-varying tolls to optimize truck arrivals at ports. Transportation Research Part E: Logistics and Transportation Review, 47(6), 965-982.
  91. Jia, A., Zhou, X. (*), Li. M., Rouphail, N., Williams, B. (2011). Incorporating Stochastic Road Capacity into a Day-to-Day Traffic Simulation and Traveler Learning Framework: Model Development and Case Study.  Journal of Transportation Research Board. 11-2820, pp 112-121.
  92. Reynolds, W. L., Rouphail, N. M., Zhou, X. (2011). Turn Pocket Blockage and Spillback Models: Applications for Signal Timing and Capacity Analysis. Transportation Research Record, 2259(1), 112-122.
  93. Wang, F., Li, C., Zhou, X., Nayak, M, Chen, X. (2010). Simulation Study of Operational Strategies for Mobility Improvement and Congestion Mitigation during Emergency Evacuation. Journal of Transportation Safety & Security, 2(2), 152 – 170.
  94. Przybyla, J., Taylor, J., Zhou, X (*). (2010) Locating Sensors for Detecting Source-to-Target Patterns of Special Nuclear Material Smuggling: A Spatial Information Theoretic Approach. Sensors, 10(9), 8070-8091.
  95. Reynolds, W., Zhou, X., Rouphail, N.M., Li., M. (2010) Estimating Sustained Service Rates at Signalized Intersections with Short Left Turn Pockets: A Mesoscopic Approach. Journal of Transportation Research Board, 10-2611, pp 64-71.
  96. Zhou, X. (*), List, G. (2010). An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications. Transportation Science, 44, 254-273.
  97. Khan, M.B., and Zhou, X (*). (2010). Slack Time Allocation in Robust Double-Track Train Timetabling Applications, IEEE Transactions on Intelligent Transportation Systems, 11(1) 1.  81 – 89.
  98. Hu, H, Williams, B.M., Rouphail, R.M., Khattak, A.J., Zhou, X. (2009). Modeling the Role of Transportation Information in Mitigating Major Capacity Reductions in a Regional Network.  Journal of Transportation Research Board. 2138. 75-84
  99. Lu, C-C., Mahmassani, H.S. and Zhou, X. (2009). Equivalent Gap Function-Based Reformulation and Solution Algorithm for the Dynamic User Equilibrium Problem. Transportation Research Part B: Methodological, 43(3), 345-364.
  100. Lu, C-C., Mahmassani, H.S. and Zhou, X. (2008). A Bi-criterion Dynamic User Equilibrium Traffic Assignment Model and Solution Algorithm for Evaluating Dynamic Road Pricing Strategies. Transportation Research Part C: Emerging Technologies, 16(4), 371-389.
  101. Zhou, X, Mahmassani, H.S. and Zhang, K. (2008). Dynamic Micro-assignment Modeling Approach for Integrated Multimodal Urban Corridor Management. Transportation Research Part C: Emerging Technologies, 16, No. 2, 167-186. (The most downloaded article, January - June 2008, in Transportation Research Part C).
  102. Zhou, X., Mahmassani. H. S. (2007). A Structural State Space Model for Real-Time Origin-Destination Demand Estimation and Prediction in a Day-to-Day Updating Framework. Transportation Research Part B: Methodological, 41(8), 823-840. (The most downloaded article, July - September 2007, in Transportation Research Part B).
  103. Zhou, X. (*), Zhong, M. (2007). Single-Track Train Timetabling with Guaranteed Optimality: Branch and Bound Algorithms with Enhanced Lower Bounds. Transportation Research Part B: Methodological, 41(3), 320-341. (Top 10 most cited articles in the period of 2007-2012, in Transportation Research Part B).
  104. Chiu, Y.-C., Zhou, X., and Hernandez, J. (2007). Evaluating Central Business District Flow Configuration Using a Dynamic Traffic Modeling Approach. Journal of Urban Planning and Development, ASCE. 133(4), 222-232.
  105. Zhou, X. and Mahmassani. H. S. (2006). Dynamic OD Demand Estimation Using Automatic Vehicle Identification Data. IEEE Transactions on Intelligent Transportation Systems, 7(1), 105- 114
  106. Zhou, X., Erdogan, S., Mahmassani, H.S. (2006). Dynamic OD Trip Demand Estimation for Subarea Analysis of ITS Deployment Alternatives. Journal of Transportation Research Board, No. 1964, 176-184.
  107. Lu, C.-C., Zhou, X., Mahmassani, H.S. (2006). Heterogeneous Users and Toll Pricing: Model and Solution Algorithm for the Bi-criterion Dynamic Traffic Assignment Problem. Journal of Transportation Research Board, No. 1964, 19-26.
  108. Eisenman, S., Fei, X., Zhou, X., Mahmassani, H.S. (2006). Number and Location of Sensors for Real-Time Network Traffic Estimation and Prediction: A Sensitivity Analysis. Journal of Transportation Research Board, No. 1964, 260-269.
  109. Zhou, X. (*), Zhong, M. (2005) Bicriteria Train Scheduling for High-Speed Passenger Railroad Planning Applications, European Journal of Operational Research, 167(3) 752-771.
  110. Zhou, X., Mahmassani, H.S. (2005). Recursive Approaches for Online Consistency Checking and OD Demand Updating for Real-time Dynamic Traffic Assignment Operation. Journal of Transportation Research Board, No. 1923, 218-226.
  111. Mahmassani, H.S. Zhou, X, Lu, C.-C. (2005). Toll Pricing and Heterogeneous Users: Approximation Algorithms for Finding Bi-Criterion Time-Dependent Efficient Paths in Large-Scale Traffic Networks. Journal of Transportation Research Board, No. 1923, 28-36.
  112. Zhou, X., Qin, X. and Mahmassani, H. S. (2003). Dynamic Origin-Destination Demand Estimation Using Multi-Day Link Traffic Counts for Planning Applications, Journal of Transportation Research Board, No. 1831, 30-38.
  113. Zhou, X., Mahmassani, H. S. (2002). Dynamic Programming Approach for On-line Freeway Flow Propagation Adjustment, Journal of Transportation Research Board, No. 1802, 263-270.

 

Research Activity
  1. NSF Consortium of Open-Source Multimodal PlaNNing for Equitable and Sustainable Communities and Transportation Systems (CONNECT): PI
  2. Re-Engineering for Adaptable Lives and Businesses (NSF):  Role: Co-Principal Investigator (Co-PI).
  3. EVALUATION OF EMERGING TRANSPORTATION TECHNOLOGIES: VDMS PILOT STUDY, Maricopa Association of Governments , 2022, PI
  4.  Development of Multi-Scale Traffic Flow Simulation Model for Urban Mobility Applications, DOE: Argonne National Laboratory (ANL), 2022, PI
  5.  Calibrating highway capacity and volume-delay functions for Arizona statewide traffic demand model (AZTDM), Arizona Department of Transportation,(ADOT),  2022, PI
  6.  CC* Integration-Large: (BLUE) Software-Defined CyberInfrastructure to enable data-driven smart campus applications, NSF, 2022-2024, Co-PI
  7. Loop101 Mobility Project Phase 1 Modeling Effort, Arizona Department of Transportation (ADOT),  PI
  8. Multi Resolution Modeling for Traffic Analysis DOT: Federal Highway Administration (FHWA), 10/01/2019-09/30/2020, PI
  9. Development of Dynamic Traffic Simulation Models and Tools for Emergency Evacuation, Maryland State Highway Administration, 6/01/2020-11/30/2020,  PI
  10. MAG MODELS INTEGRATION: Calibration of volume-delay function, Maricopa Association of Governments, 5/01/2020-11/30/2021, PI
  11. DYNAMIC TRAFFIC ASSIGNMENT MODEL EVALUATION PLAN, Arizona Department of Transportation (ADOT), 6/01/2020-6/30/2021, Co-PI
  12. FY 2018 MAG MODELS INTEGRATION ONCALL, Maricopa Association of Governments, 3/20/2019-6/30/2020, PI
  13. Development and Demonstration of Advanced Methods for Quantifying Freight Truck Activity Energy Use and Emissions (UTCP YR2), US Department of Transportation (DOT), /20/2015-9/30/2018, Co-PI
  14. Real-time Management of Large Fleets of Self-Driving Vehicles Using Virtual Cyber Tracks, National Science Foundation (NSF), 9/1/2017-8/31/2019, PI
  15. SHAUM4-02: Maryland Integrated Travel Analysis Modeling System (MITAMS), DOT: Federal Highway Administration (FHWA), 12/18/2014-12/31/2016, PI
  16. Data Fusion Aided Freeway Analysis for HCM (UTCP YR2), US Department of Transportation (DOT), 2/20/2015-9/30/2017,  PI
  17. Maryland SHRP2 Advanced Travel Analysis Tools (C10) Implementation Assistance Project, DOT: Federal Highway Administration (FHWA), 9/5/2014, PI
  18. Maryland SHRP2 Advanced Travel Analysis Tools (C10) Implementation Assistance Project, Maryland State Highway Administration, 3/1/2015-9/30/2016, PI
  19. Dynamic Transportation Assignment in Nevada, Nevada Department of Transportation, 12/1/2014, PI
  20. Collaborative Research: Improving Spatial Observability of Dynamic Traffic Systems through Ubiquitous Sensor Networks, National Science Foundation (NSF), 6/15/2015-5/31/2018, PI
  21. Integrated, personalized, real-time traveler information and incentive technology for optimizing energy efficiency in multimodal transportation system, DOE: Advanced Research Projects Agency-Energy (ARPA-E), PI
  22. Green Accessibility: Measuring the Environmental Costs of Space-Time Prisms in Sustainable Transportation Planning, National Science Foundation (NSF), 2014, Co-PI
  23. Developing a Multi-resolution Traffic Simulation Platform for Integrated Active Traffic Operations Evaluation in Metropolitan Areas (UTCP YR2), US Department of Transportation (DOT), 2/20/2015-6/30/2016, PI
  24. Development and Calibration of Regional Dynamic Transportation Assignment Models for the Estimation of Traffic Performance Measures in Nevada, US Department of Transportation (DOT), 1/28/2015-3/31/2017,  PI
  25. Evaluating and Calibrating Emission Impacts of Traffic Management Strategies through Simplified Emission Estimation Model and Mesoscopic Dynamic Traffic, US Department of Transportation (DOT), 1/1/2014-12/31/2015, PI
  26. Traveler Response Architecture using Novel Signaling for Network Efficiency in Transportation (TRANSNET), U.S. Department of Energy’s (DOE) Advanced Research Projects Agency – Energy (ARPA-E),  2016-2018, Co-PI
  27. Congestion Mitigation Potential of Autonomous (Driverless) Vehicles: A Scenario-Based Approach, University Transportation Center, 2013-2014, Co-PI

 

Awarded Research Projects at University of Utah

  1. Technical Support for DYNASMART-P Application, Federal Highway Administration, Office of Planning, 2007-2010
  2. Visualization Platform for Dynamic Network Assignment and Simulation, Federal Highway Administration, Office of Planning, 2008-2009
  3. Mobile Phone-based Driving Safety Data Collection and Evaluation Systems, Safe Driving System Cooperate, 2009
  4. Development and Pilot Demonstration of Mobile Probe-based Traffic Monitoring and Information Provision Systems, California Partners for Advanced Transit and Highways (PATH) as part of US DOT Safe Trip 21 project, 2009-2011
  5. Understanding Contribution of Operations, Technology, and Design to Meeting Highway Capacity Needs (SHRP II C05), Strategic Highway Research Program II, 2008-2009
  6. SHRP L02 Monitoring Reliability. (SHRP II L02), Strategic Highway Research Program II, 2009-2012
  7. Incorporating Reliability Performance Measures in Operations and Planning Modeling Tools (SHRP II L04), Strategic Highway Research Program II, 2009-2011
  8. SHRP2 L15A: Providing Origin-to-Destination Travel Time Reliability Information on Google Maps, Funded by TRB Strategic Highway Research Program II, 2010-2011
  9. Nuclear forensics education award program, Department of Energy, 2010-2012
  10. FHWA Planning BAA: An Open-Source Dynamic Traffic Assignment Tool for Assessing the Effects of Roadway Pricing and Crash Reduction Strategies on Recurring and Non-Recurring Congestion, Sponsored by Federal Highway Administration through Kittelson & Associates Inc, 2010-2013
  11. FHWA IDIQ: The Effective Integration of Analysis, Modeling, and Simulation Tools, Federal Highway Administration through Kittelson & Associates Inc, 2010-2013
  12. Context-Sensitive Spatial and Temporal Resolution of Onroad Mobile Source Emission Inventories, Environmental Protection Agency through North Carolina State University, 2010-2014
  13. Traffic Modeling of Transit Oriented Development, Utah Transit Authority, 2012-2013
  14. Simplified Web-based Decision Support Method for Traffic Management and Work Zone Analysis, Utah Department of Transportation, 2012-2015

 

Courses
2025 Spring
Course Number Course Title
CEE 372 Transportation Engineering
CEE 792 Research
CEE 499 Individualized Instruction
CEE 790 Reading and Conference
CEE 599 Thesis
CEE 799 Dissertation
CEE 493 Honors Thesis
CEE 590 Reading and Conference
CEE 592 Research
CEE 595 Continuing Registration
CEE 795 Continuing Registration
CEE 593 Applied Project
CEE 790 Reading and Conference
CEE 792 Research
CEE 592 Research
CEE 580 Practicum
CEE 493 Honors Thesis
CEE 799 Dissertation
CEE 599 Thesis
2024 Fall
Course Number Course Title
CEE 492 Honors Directed Study
CEE 493 Honors Thesis
CEE 499 Individualized Instruction
CEE 590 Reading and Conference
CEE 592 Research
CEE 595 Continuing Registration
CEE 599 Thesis
CEE 790 Reading and Conference
CEE 792 Research
CEE 795 Continuing Registration
CEE 799 Dissertation
CEE 593 Applied Project
CEE 792 Research
CEE 595 Continuing Registration
CEE 492 Honors Directed Study
CEE 799 Dissertation
CEE 592 Research
CEE 493 Honors Thesis
CEE 790 Reading and Conference
CEE 499 Individualized Instruction
CEE 598 Special Topics
ASU 101-CEE The ASU Experience
2024 Summer
Course Number Course Title
CEE 792 Research
CEE 592 Research
CEE 790 Reading and Conference
CEE 592 Research
CEE 792 Research
CEE 595 Continuing Registration
CEE 792 Research
CEE 799 Dissertation
CEE 795 Continuing Registration
CEE 790 Reading and Conference
CEE 593 Applied Project
CEE 590 Reading and Conference
CEE 799 Dissertation
CEE 595 Continuing Registration
CEE 593 Applied Project
2024 Spring
Course Number Course Title
CEE 499 Individualized Instruction
CEE 790 Reading and Conference
CEE 599 Thesis
CEE 493 Honors Thesis
CEE 590 Reading and Conference
CEE 592 Research
CEE 792 Research
CEE 595 Continuing Registration
CEE 795 Continuing Registration
CEE 372 Transportation Engineering
CEE 593 Applied Project
CEE 790 Reading and Conference
CEE 792 Research
CEE 592 Research
CEE 580 Practicum
CEE 493 Honors Thesis
CEE 799 Dissertation
CEE 599 Thesis
CEE 598 Special Topics
2023 Fall
Course Number Course Title
CEE 492 Honors Directed Study
CEE 493 Honors Thesis
CEE 499 Individualized Instruction
CEE 590 Reading and Conference
CEE 592 Research
CEE 595 Continuing Registration
CEE 599 Thesis
CEE 790 Reading and Conference
CEE 792 Research
CEE 795 Continuing Registration
CEE 799 Dissertation
CEE 593 Applied Project
CEE 792 Research
CEE 595 Continuing Registration
CEE 799 Dissertation
CEE 592 Research
CEE 493 Honors Thesis
CEE 790 Reading and Conference
CEE 499 Individualized Instruction
CEE 598 Special Topics
2023 Summer
Course Number Course Title
CEE 592 Research
CEE 592 Research
CEE 792 Research
CEE 790 Reading and Conference
CEE 792 Research
CEE 595 Continuing Registration
CEE 792 Research
CEE 799 Dissertation
CEE 795 Continuing Registration
CEE 790 Reading and Conference
CEE 593 Applied Project
CEE 590 Reading and Conference
CEE 799 Dissertation
CEE 593 Applied Project
2023 Spring
Course Number Course Title
CEE 499 Individualized Instruction
CEE 599 Thesis
CEE 799 Dissertation
CEE 493 Honors Thesis
CEE 590 Reading and Conference
CEE 592 Research
CEE 792 Research
CEE 595 Continuing Registration
CEE 795 Continuing Registration
CEE 372 Transportation Engineering
CEE 593 Applied Project
CEE 790 Reading and Conference
CEE 792 Research
CEE 580 Practicum
CEE 493 Honors Thesis
CEE 598 Special Topics
2022 Fall
Course Number Course Title
CEE 492 Honors Directed Study
CEE 493 Honors Thesis
CEE 499 Individualized Instruction
CEE 590 Reading and Conference
CEE 592 Research
CEE 595 Continuing Registration
CEE 599 Thesis
CEE 790 Reading and Conference
CEE 792 Research
CEE 795 Continuing Registration
CEE 799 Dissertation
CEE 593 Applied Project
CEE 792 Research
CEE 595 Continuing Registration
CEE 799 Dissertation
CEE 592 Research
CEE 493 Honors Thesis
CEE 790 Reading and Conference
CEE 499 Individualized Instruction
CEE 598 Special Topics
2022 Summer
Course Number Course Title
CEE 595 Continuing Registration
CEE 799 Dissertation
CEE 592 Research
CEE 792 Research
CEE 592 Research
CEE 792 Research
CEE 792 Research
CEE 799 Dissertation
CEE 795 Continuing Registration
CEE 790 Reading and Conference
CEE 590 Reading and Conference
CEE 593 Applied Project
CEE 590 Reading and Conference
2022 Spring
Course Number Course Title
CEE 499 Individualized Instruction
CEE 790 Reading and Conference
CEE 599 Thesis
CEE 799 Dissertation
CEE 493 Honors Thesis
CEE 590 Reading and Conference
CEE 592 Research
CEE 792 Research
CEE 595 Continuing Registration
CEE 795 Continuing Registration
CEE 372 Transportation Engineering
CEE 593 Applied Project
CEE 790 Reading and Conference
CEE 792 Research
CEE 580 Practicum
CEE 493 Honors Thesis
CEE 598 Special Topics
2021 Fall
Course Number Course Title
CEE 492 Honors Directed Study
CEE 493 Honors Thesis
CEE 499 Individualized Instruction
CEE 590 Reading and Conference
CEE 592 Research
CEE 595 Continuing Registration
CEE 599 Thesis
CEE 790 Reading and Conference
CEE 792 Research
CEE 795 Continuing Registration
CEE 799 Dissertation
CEE 593 Applied Project
CEE 792 Research
CEE 595 Continuing Registration
CEE 799 Dissertation
CEE 592 Research
CEE 493 Honors Thesis
CEE 499 Individualized Instruction
CEE 598 Special Topics
2021 Summer
Course Number Course Title
CEE 799 Dissertation
CEE 792 Research
CEE 790 Reading and Conference
CEE 792 Research
CEE 595 Continuing Registration
CEE 792 Research
CEE 799 Dissertation
CEE 795 Continuing Registration
CEE 790 Reading and Conference
CEE 590 Reading and Conference
CEE 593 Applied Project
CEE 590 Reading and Conference
CEE 494 Special Topics
2021 Spring
Course Number Course Title
CEE 499 Individualized Instruction
CEE 790 Reading and Conference
CEE 599 Thesis
CEE 799 Dissertation
CEE 493 Honors Thesis
CEE 590 Reading and Conference
CEE 592 Research
CEE 792 Research
CEE 595 Continuing Registration
CEE 795 Continuing Registration
CEE 372 Transportation Engineering
CEE 593 Applied Project
CEE 790 Reading and Conference
CEE 792 Research
CEE 580 Practicum
CEE 590 Reading and Conference
CEE 493 Honors Thesis
2020 Fall
Course Number Course Title
CEE 372 Transportation Engineering
CEE 492 Honors Directed Study
CEE 493 Honors Thesis
CEE 499 Individualized Instruction
CEE 590 Reading and Conference
CEE 592 Research
CEE 595 Continuing Registration
CEE 599 Thesis
CEE 790 Reading and Conference
CEE 792 Research
CEE 795 Continuing Registration
CEE 799 Dissertation
CEE 593 Applied Project
CEE 792 Research
CEE 595 Continuing Registration
CEE 492 Honors Directed Study
CEE 799 Dissertation
CEE 592 Research
CEE 493 Honors Thesis
CEE 599 Thesis
CEE 499 Individualized Instruction
CEE 598 Special Topics
2020 Summer
Course Number Course Title
CEE 799 Dissertation
CEE 592 Research
CEE 792 Research
CEE 790 Reading and Conference
CEE 592 Research
CEE 792 Research
CEE 595 Continuing Registration
CEE 792 Research
CEE 799 Dissertation
CEE 795 Continuing Registration
CEE 790 Reading and Conference
CEE 590 Reading and Conference
CEE 593 Applied Project
CEE 590 Reading and Conference
CEE 494 Special Topics
2020 Spring
Course Number Course Title
CEE 499 Individualized Instruction
CEE 790 Reading and Conference
CEE 599 Thesis
CEE 799 Dissertation
CEE 493 Honors Thesis
CEE 590 Reading and Conference
CEE 592 Research
CEE 792 Research
CEE 595 Continuing Registration
CEE 795 Continuing Registration
CEE 593 Applied Project
CEE 792 Research
CEE 580 Practicum
CEE 493 Honors Thesis
2019 Fall
Course Number Course Title
CEE 492 Honors Directed Study
CEE 493 Honors Thesis
CEE 499 Individualized Instruction
CEE 590 Reading and Conference
CEE 592 Research
CEE 595 Continuing Registration
CEE 599 Thesis
CEE 790 Reading and Conference
CEE 792 Research
CEE 795 Continuing Registration
CEE 799 Dissertation
CEE 593 Applied Project
CEE 792 Research
CEE 595 Continuing Registration
CEE 492 Honors Directed Study
CEE 799 Dissertation
CEE 592 Research
CEE 493 Honors Thesis
CEE 593 Applied Project
CEE 499 Individualized Instruction
Honors / Awards
  1. Open-source python package OSM2GMNS Software Badge from Zephyr Foundation, 2023.  Zephyr Foundation is a non-profit organization dedicated to promoting rigorous transportation and land use decision-making. OSM2GMNS has received 70K downloads.
  2. The Elsevier Journal “Multimodal Transportation” 2022 Best Article Award, for paper titled "A meso-to-macro cross-resolution performance approach for connecting polynomial arrival queue model to volume-delay function with inflow demand-to-capacity ratio”"
  3. Nominated for ASU Outstanding Faculty Mentor Awards, 2020
  4. Transportation Research Part C: Emerging Technologies, Best Associate Editor Award, 2018
  5. 2016 RAS Service Award, Institute for Operations Research and the Management Sciences, Railway Applications Section (RAS)
  6. Best Paper Award in the 15th IEEE International Intelligent Transportation Systems Conference. Paper title: Simplified, Data-Driven, Errorable Car-Following Model to Predict the Safety Effects of Distracted Driving. Authors: Jay Przybyla, Jeff Taylor,  Jupe, Jason, Xuesong Zhou, 2012.
  7. Top 15% instructors in the College of Engineering, University of Utah, 2008. 
  8. Second place in the Student Research Paper Contest organized by the Rail Applications Section of INFORMS (Institute for Operations Research and Management Science), for the paper “Bicriteria Train Scheduling for Intercity Passenger Railroad Planning Applications”, 2003.    
Editorships
  1. Associate Editor, (2014-2023) Transportation Research Part C: Emerging Technologies.
  2. Associate Executive Editor-in-Chief, Executive Editor-in-Chief (2015-) Urban Transit Rail.
  3. Associate Editor, (2015-) Networks and Spatial Economics.
  4. Editorial Board Member (2015-) Transportation Research Part B: Methodological.
  5. Editorial Board Member (2016-) International Journal of Transportation Science and Technology.
Professional Associations

TRB

INFORMS

Graduate Faculties / Mentoring History

Ph.D. Students Graduated: 9

  1. Jiawei Lu (Fall, 2022), Connected and Automated Mobility Modeling on Layered Transportation Networks: Cross-Resolution Architecture of System Estimation and Optimization. Current Job placement: Postdoctoral Fellow at Georgia Institute of Technology
  2. Tae Hooie Kim (Fall, 2021), Co-chaired with Ram Pendyala, Integrate Transportation Planning Models with Machine Learning Algorithms: A Computational Graph Framework in a Data-Rich Environment. Hong Kong Society for Transportation Studies (HKSTS) Outstanding Dissertation Award (Honourable Mention), Current Job placement: Research Scientist at UrbanSim Inc.
  3. Baloka Belezamo. (October, 2020) Data-driven Methods for Characterizing Transportation System Performances Under Congested Conditions: A Phoenix Study. Current Job placement: Senior Manager, Arizona State University.
  4. Monirehalsadat Mahmoudi (February 2018), Shared Mobility Optimization in Large Scale Transportation Networks: Methodology and Applications. Current Job placement: Assistant Professor at Michigan State University.
  5. Jiangtao Liu (March 2018), Passenger-focused scheduled transportation systems: from increased observability to shared mobility. Current Job placement: Operations Research Engineer at Intel Corporation.
  6. Jay Przybyla (Summer 2013), Enhancing transportation safety and security. Current Job placement: Managing Engineer at Focus Forensics
  7. Hao Lei (Summer 2013), Estimate travel time reliability and emissions for active traffic and demand management. Current Job placement: Software Principal Engineer at DELL EMC
  8. Tao Xing (Spring 2012), Information-theoretic sensor network design and reliable route guidance. Current Job placement: Senior Software Engineer at Otter.ai
  9. Mingxin Li (Fall 2010), Modeling Network-wide Impacts of Traffic Bottleneck Mitigation Strategies under Stochastic Capacity Conditions. Current Job placement: Scientist at University of Delaware

Postdoctoral Researchers: 6

  1. Xin Wu (2019-2022)
  2. Jiangtao Liu (2018-2019)
  3. Jeffrey Stempihar (2017)
  4. Yunchao Qu (2016)
  5. Pengfei Taylor Li (2014-2015)
  6. Milan Toplica Zlatkovi (2013)
  7. Sammy Chen (2010)
Work History

Associate Professor (August 2013 – Present)

Arizona State University, AZ

 

Assistant Professor (January 2007 – June 2013) Associate Professor (Tenured, July 2013) University of Utah, UT

 

Research Scientist (August 2005 – April 2006)

North Carolina State University, NC

 

Research Assistant Professor (August 2004 – August 2005)

University of Maryland, College Park, MD

Service
  1. TRB Innovations in Travel Analysis and Planning Conference, June 4-6, 2023 in Indianapolis, IN (300 participants, service as chair with co-chair Rosella Picado, WSP. Inc)
  2. International Workshop on High-speed Rail Planning and Operations, January 2015 
  3. Board Member, Zephyr Foundation, a non-profit organization that advocates for and supports the development of more valuable, credible, and transparent travel analysis methods and tools to promote equitable and sustainable transportation and land use decision-making.
  4. TRB Committee on Transportation Network Modeling (ADB30), April 2009- Present.
  5. TRB Committee on Travel Forecasting Resource (ADB40), April 2009- 2020.
  6. Transportation Advisory Board, Salt Lake City, Utah, September 2009- August 2014.
  7. 2012,2013,2014, 2020 INFORMS Railway Application Section Problem Solving Competition Organizing Committee.
  8. 2013 INFORMS Railway Application Section Student Paper Competition Organizing Committee.
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