Journal Papers  

2024

[130] Yang, T. and Fan, W., Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments through Data Fusion and Multi-Discrete Actions, Accepted for Publication, IEEE Transactions on Intelligent Transportation Systems, May 2024. 

[129] Li, W., Chen, S., Fan, W. and Luo, Q., Optimization of Periodic Train Schedule with Flexible Train Composition During Off-Peak Periods for Urban Rail Transit, Accepted for Publication, ASCE Journal of Transportation Engineering, Part A: Systems, April 2024. 

[128] Gu, J.J., Jiang, Z.B., Fan, W., Qin, W. and Zhang, Z., Short-Term Semantic Trajectory Prediction for Individual Metro Passengers Based on Multi-Level Periodicity Mining, Engineering Applications of Artificial Intelligence, Volume 133, Part B, 108134, July 2024. 

[127] Yang, T. and Fan, W., Transit Signal Priority under Connected Vehicle Environment: Deep Reinforcement Learning Approach, Accepted for Publication, Journal of Intelligent Transportation Systems, January 2024. 

[126] Hua, C. and Fan, W., Safety-Oriented Dynamic Speed Harmonization of Mixed Traffic Flow in Nonrecurrent Congestion, Physica A: Statistical Mechanics and its Applications, Volume 634, January 2024, 129439.

[125] Liu, S., Fan, W., Jiao, S. and Li, A., The Performance of Connected and Autonomous Vehicles with Trajectory Planning in a Fixed Signal Controlled Intersection, Promet - Traffic&Transportation, Vol. 36 No. 1, 2024. 

2023

[124] Liu, K., Wang, J. and Fan, W., Emerging Technologies in the Electrification of Urban Mobility, World Electric Vehicle Journal, 14(12), 331, 2023.

[123] Hua, C. and Fan, W., Dynamic Speed Harmonisation For Mixed Traffic Flow On The Freeway Using Deep Reinforcement Learning, IET Intelligent Transport Systems, Volume 17, Issue 12, pp. 2519-2530, December 2023.

[122] Song, L. and Fan, W., Performance of State-Shared Multi-Agent Deep Reinforcement Learning Controlled Signal Corridor with Platooning-Based CAVs, ASCE Journal of Transportation Engineering, Part A: System, Volume 149, Issue 8, June 2023.

[121] Islam, M.M., Newaz, A., Song, L., Lartey, B., Lin, S-C, Fan, W., Hajbabaie, A.,  Khan, M.A., Partovi, A., Phuapaiboon, T., Homaifar, A., Karimoddini, A., Connected Autonomous Vehicles: State of Practice, Applied Stochastic Models in Business and Industry, 39:684–700, 2023. 

[120] Song, L. and Fan, W., Intersection Capacity Adjustments Considering Different Market Penetration Rates of Connected and Automated Vehicles, Transportation Planning and Technology, Volume 46, Issue 3, pp. 286-303, 2023.

[119] Yang, T. and Fan, W., Evaluation of Transit Signal Priority at Signalized Intersections under Connected Vehicle Environment, Transportation Planning and Technology, Volume 46, Issue 2, pp. 145-159, 2023.

[118] Li, Y., Fan, W., Song, L. and Liu, S., Combining Emerging Hotspots Analysis with XGBoost for Modeling Pedestrian Injuries in Pedestrian-Vehicle Crashes: A Case Study of North Carolina, Journal of Transportation Safety & Security, Volume 15, Issue 11, pp. 1203-1225, 2023. 

[117] Yang, T., Fan, W. and Song, L., Modelling Pedestrian Injury Severity in Pedestrian-Vehicle Crashes Considering Different Land Use Patterns: Mixed Logit Approach, Traffic Injury Prevention, Volume 24, Issue 2, pp. 114-120, 2023.

[116] Zhao, X.M., Gao, Y., Jin, S.J., Xu, Z., Liu, Z., Fan, W. and Liu, P, Development of a Cyber-Physical-System Perspective based Simulation Platform for Optimizing Connected Automated Vehicles Dedicated Lanes, Expert Systems with Applications, Volume 213, Part B, 118972, March 2023. 

[115] Hua, C., Fan, W., Song, L. and Liu, S., Analyzing the Injury Severity in Overturn Crashes Involving Sport Utility Vehicles: A Latent Class Clustering and Random Parameter Logit Model, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 149, Issue 3, March 2023.

[114] Hua, C. and Fan, W., Injury Severity Analysis of Time-of-Day Fluctuations and Temporal Volatility in Reverse Sideswipe Collisions: A Random Parameter Model with Heterogeneous Means and Heteroscedastic Variances, Journal of Safety Research, Volume 84, February 2023, Pages 74-85. 

[113] Liu, S. and Fan, W., A Simulation Study on The Traffic Delay and Fuel Consumption of Connected and Autonomous Vehicles In Superstreet with Platooning, Signal Optimization, and Trajectory Planning, Transportation Planning and Technology, Volume 46, Issue 1, pp. 119-144, 2023. 

2022

[112] Liu, S., Li, Y. and Fan, W., Mixed Logit Model Based Diagnostic Analysis of Bicycle-Vehicle Crashes at Daytime and Nighttime, International Journal of Transportation Science and Technology, Volume 11, Issue 4, pp. 738-751, 2022. 

[111] Hua, C. and Fan, W., Freeway Traffic Speed Prediction under the Intelligent Driving Environment: A Deep Learning Approach, Journal of Advanced Transportation, 2022. 

[110] Liu, S. and Fan, W., Platooning-Based Trajectory Planning of Connected and Autonomous Vehicles at Superstreets, Transportation Planning and Technology, Volume 45, Issue 3, pp. 251-267, 2022.

[109] Liu, S., Lin, Z. and Fan, W., Investigating Contributing Factors to Injury Severity Levels in Crashes Involving Pedestrians and Cyclists Using Latent Class Clustering Analysis and Mixed Logit Models, Journal of Transportation Safety & Security, Volume 14, Issue 10, pp. 1674-1701, 2022.

[108] Qiu, B. and Fan, W., Mixed Logit Models for Examining Pedestrian Injury Severities at Intersection and Non-Intersection Locations, Journal of Transportation Safety & Security, Volume 14, Issue 8, pp. 1333-1357, 2022. 

[107] Liu, S. and Fan, W., Evaluating The Performance of Connected And Automated Vehicles in Fixed Signal-Controlled Conventional Intersections and Superstreets with Platooning-Based Trajectory Planning, Journal of Advanced Transportation, Volume 2022, Article ID 6093217, 2022. 

[106] Li, Y. and Fan, W., Mixed Logit Approach to Modeling the Severity of Pedestrian-Injury in Pedestrian-Vehicle Crashes in North Carolina: Accounting for Unobserved Heterogeneity, Journal of Transportation Safety & Security, Volume 14, Issue 5, pp. 796-817, 2022.

[105] Liu, P. and Fan, W., Analyzing Injury Severity of Rear-End Crashes involving Large Trucks Using a Mixed Logit Model: A Case Study in North Carolina, Journal of Transportation Safety & Security, Volume 14, Issue 5, pp. 723-736, 2022.

[104] Gu, J.J., Jiang, Z.B., Fan, W. and Chen, J., Short-Term Trajectory Prediction for Individual Metro Passengers Integrating Diverse Mobility Patterns with Adaptive Location-Awareness, Information Sciences, Volume 599, pp. 25-43, 2022.

[103] Yang, Y., Cui, H., Ma, X., Fan, W., Zhu, M. and Yao, S., Evaluating the Impacts of Optimization Horizon on the Shared Autonomous Vehicle Reservation Request System, Journal of Advanced Transportation, Volume 2022, Article ID 7304148, 2022.

2021

[102] Song, L. and Fan, W., Traffic Signal Control Under Mixed Traffic With Connected and Automated Vehicles: A Transfer-Based Deep Reinforcement Learning Approach, IEEE Access, Volume 9, pp. 145228-145237, 2021. 

[101] Chen, Z. and Fan, W., A Freeway Travel Time Prediction Method Based on an XGBoost Model, Sustainability, Volume 13, Issue 15, 2021.

[100] Song, L., Fan, W. and Li, Y., Time-of-day Variations and the Temporal Instability of Multi-vehicle Crash Injury Severities under the Influence of Alcohol or Drugs after the Great Recession, Analytic Methods in Accident Research, Volume 32, 100183, 2021. 

[99] Qiu, B. and Fan, W., Machine Learning Based Short-Term Travel Time Prediction: Numerical Results and Comparative Analyses, Sustainability, Volume 13, Issue 13, 2021. 

[98] Qiu, B. and Fan, W., Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Random Forests Approach, Smart and Resilient Transportation, Volume 3, Issue 2, 2021. 

[97] Li, Y. and Fan, W., Bi-Level Optimization of Long-Term Highway Work Zone Scheduling Considering Elastic Demand, Smart and Resilient Transportation, Volume 3, Issue 2, 2021. 

[96] Song, L., Li, Y., Fan, W. and Liu, P., Mixed Logit Approach to Analyzing Pedestrian Injury Severity in Pedestrian-Vehicle Crashes in North Carolina: Considering Time-of-day and Day-of-week, Traffic Injury Prevention, Volume 22, Issue 7, pp. 524-529, 2021. 

[95] Song, L. and Fan, W., Exploring Truck Driver-Injury Severity at Intersections Considering Heterogeneity in Latent Classes: A Case Study of North Carolina, International Journal of Transportation Science and Technology, Volume 10, Issue 2, pp. 110-120, 2021. 

[94] Liu, S. and Fan, W., Investigating Factors Affecting Injury Severity in Vehicle-Cyclist Crashes: A Day-of-Week Analysis with Partial Proportional Models, Canadian Journal of Civil Engineering, Volume 48, Number 8, August 2021.

[93] Liu, P. and Fan, W., Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment, Promet - Traffic&Transportation, Vol. 33, No. 5, pp. 767-774, 2021. 

[92] Xu, Y.L., Fan, W., Cheng, P.F. and Shan, L.Y., Mechanical Characterisation of Interface Shear Strain of Multi-Layer Composite Pavement, International Journal of Pavement Engineering, Volume 22, Issue 9, pp. 1116-1122, 2021. 

[91] Liu, P. and Fan, W., Analysis of Head-On Crash Severity Using A Partial Proportional Odds Model, Journal of Transportation Safety & Security, Volume 13, Issue 7, pp. 714-734, 2021. 

[90] Song, L., Fan, W. and Liu, P., Exploring the Effects of Connected and Automated Vehicles at Fixed and Actuated Signalized Intersections with Different Market Penetration Rates, Transportation Planning and Technology, Volume 44, Issue 6, pp. 577-593, 2021.

[89] Liu, S. and Fan, W., Investigating Operational Performance of Connected and Autonomous Vehicles on Signalized Superstreets, Transportation Planning and Technology, Volume 44, Issue 6, pp. 594-607, 2021.

[88] Li, Y. and Fan, W., Optimizing Transit Equity and Accessibility of the City of Charlotte by Integrating Transit Gap Index, A General Transit Feed Specification (GTFS) Data Relevant Performance Metric, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 147, Issue 4, 2021. 

[87] Liu, S., Fan, W. and Li, Y. Injury Severity Analysis of Rollover Crashes for Passenger Cars and Light Trucks Considering Temporal Stability: A Random Parameters Logit Approach with Heterogeneity in Means and Variances, Journal of Safety Research, Volume 78, pp. 276-291, 2021.

[86] Li, Y., Song, L. and Fan, W., Day-of-the-Week Variations and Temporal Instability of Factors Influencing Pedestrian Injury Severity in Pedestrian-Vehicle Crashes: A Random Parameters Logit Approach with Heterogeneity in Means and Variances, Analytic Methods in Accident Research, Volume 29, 100152, 2021. 

[85] Song, L., Fan, W., Li, Y. and Wu, P., Exploring Pedestrian Injury Severities at Pedestrian-Vehicle Crash Hotspots with An Annual Upward Trend: A Spatiotemporal Analysis with Latent Class Random Parameter Approach, Journal of Safety Research, Volume 76, pp. 184-196, 2021. 

[84] Lin, Z. and Fan, W., Exploring Bicyclist Injury Severity in Bicycle-vehicle Crashes Using Latent Class Clustering Analysis and Partial Proportional Odds Models, Journal of Safety Research, Volume 76, pp. 101-117, 2021. 

[83] Lin, Z. and Fan, W., Cyclist Injury Severity Analysis with Mixed Logit Models at Intersections and Non-intersection Locations, Journal of Transportation Safety & Security, Volume 13, Issue 2, pp. 223-245, 2021.

[82] Liu, P. and Fan, W., Exploring the Impact of Connected and Autonomous Vehicles on Mobility and Environment at Signalized Intersections through Vehicle-to-Infrastructure (V2I) and Infrastructure-to-Vehicle (I2V) Communications, Transportation Planning and Technology, Volume 44, Issue 2, pp. 129-138, 2021.

2020

[81] Song, L., Li, Y., Fan, W. and Wu, P., Modeling Pedestrian-Injury Severities in Pedestrian-Vehicle Crashes Considering Spatiotemporal Patterns: Insights from Different Hierarchical Bayesian Random-Effects Models, Analytic Methods in Accident Research, Volume 28, 100137, 2020. 

[80] Lin, Z. and Fan, W., Modeling Bicycle Volume Using Crowdsourced Data from Strava Smartphone Application, International Journal of Transportation Science and Technology, Volume 9, Issue 4, pp. 334-343, 2020.

[79] Zhu, W., Xiao, X., Huang, Z. and Fan, W., Evaluating the Wheelset Health Status of Rail Transit Vehicles: Synthesis of Wear Mechanism and Data-Driven Analysis, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 12, 2020.

[78] Li, Y. and Fan, W., Modeling and Evaluating Public Transit Equity and Accessibility by Integrating General Transit Feed Specification Data: Case Study of the City of Charlotte, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 10, 2020.

[77] Huang, Z., Fan, W., Xu, R.H., Lee, D.H. and Zhu, W., Reliability Measure-Based Data Analytics Approach to Identifying and Ranking Recurrent Bottlenecks in Urban Rail Transit Networks, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 9, 2020. 

[76] Zhou, F., Li, C.F., Huang, Z., Xu, R.H. and Fan, W., Fare Incentive Strategies for Managing Peak-Hour Congestion in Urban Rail Transit Networks, Transportmetrica A: Transport Science, Volume 18, Issue 1, pp. 166-187, 2020. 

[75] Song, L. and Fan, W., Combined Latent Class and Partial Proportional Odds Model Approach to Exploring the Heterogeneities in Truck-Involved Severities at Cross and T-Intersections, Accident Analysis and Prevention, Volume 144, 105638, 2020. 

[74] Zhu, W., Fan, W.L., Wei, J. and Fan, W., Complete Estimation Approach for Characterizing Passenger Travel Time Distributions at Rail Transit Station, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 7, 2020. 

[73] Chen, Z. and Fan, W., Extracting Bus Transit Boarding and Alighting Information Using Smart Card Transaction Data, Journal of Public Transportation, Volume 20, Issue 1, 2020. 

[72] Gu, J.J., Jiang, Z., Fan, W., Wu, J. and Chen, J., Real-Time Passenger Flow Anomaly Detection Considering Typical Time Series Clustered Characteristics at Metro Stations, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 4, 2020. 

[71] Lin, Z. and Fan, W., Bicycle Ridership using Crowdsourced Data: Ordered Probit Model Approach, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 8, 2020. 

[70] Li, Y. and Fan, W., Modelling the Severity of Pedestrian Injury in Pedestrian-Vehicle Crashes in North Carolina: A Partial Proportional Odds Logit Model Approach, Journal of Transportation Safety & Security, Volume 12, Issue 3, pp. 358-379, 2020.

[69] Liu, P. and Fan, W., Exploring the Impact of Connected and Autonomous Vehicles on Freeway Capacity Using a Revised Intelligent Driver Model, Transportation Planning and Technology, Volume 43, Issue 3, pp. 279-292, 2020.

[68] Chen, Z. and Fan, W., Analyzing Travel Time Distribution Based on Different Travel Time Reliability Patterns Using Probe Vehicle Data, International Journal of Transportation Science and Technology, Volume 9, Issue 1, pp. 64-75, 2020.

[67] Liu, P. and Fan, W., Modeling Head-on Crash Severity with Drivers under the Influence of Alcohol or Drugs (DUI) And Non- DUI, Traffic Injury Prevention, Volume 21, Issue 1, pp. 7-12, 2020. 

[66] Teng, J., Chen, T. and Fan, W., An Integrated Approach to Vehicle Scheduling and Bus Timetabling for an Electric Bus Line, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 146, Issue 2, 2020. 

[65] Liu, P. and Fan, W., Exploring Injury Severity in Head-on Crashes Using Latent Class Clustering Analysis and Mixed Logit Model: a Case Study of North Carolina, Accident Analysis and Prevention, Volume 135, 105388, 2020.

[64] Zhu, W., Wei, J. and Fan, W., Data Fusion Approach for Evaluating Route Choice Models in Large-Scale Complex Urban Rail Transit Networks, ASCE Journal of Transportation Engineering, Part A: Systems, Vol. 146, Issue 1, 04019056, 2020.

[63] Zhao, J., Fan, W. and Zhai, X.H., Identification of Land-use Characteristics Using Bicycle Sharing Data: A Deep Learning Approach, Journal of Transport Geography, Volume 82, 102562, 2020. 

2019

[62] Li, Y. and Fan, W., Modelling Severity of Pedestrian-Injury in Pedestrian-Vehicle Crashes with Latent Class Clustering and Partial Proportional Odds Model: A Case Study of North Carolina, Accident Analysis and Prevention, Volume 131, pp. 284-296, 2019. 

[61] Chen, Z. and Fan, W., Data Analytics Approach for Travel Time Reliability Pattern Analysis and Prediction, Journal of Modern Transportation, 27, pp. 250-265, 2019. 

[60] Lin, Z. and Fan, W., Modeling Bicyclist Injury Severity in Bicycle-Motor Vehicle Crashes Occurred in Both Urban and Rural Areas: A Mixed Logit Analysis, Canadian Journal of Civil Engineering, 46(10), pp. 924-933, 2019. 

[59] Li, Y. and Fan, W., Pedestrian-Injury Severities in Pedestrian-Vehicle Crashes and the Partial Proportional Odds Logit Model: Accounting for Age Difference, Transportation Research Record – Journal of Transportation Research Board, Vol. 2673, No. 5, pp. 731-746, 2019.

[58] Chen, Z. and Fan, W., Modeling Pedestrian-Vehicle Crash Severity in Rural and Urban Areas: Mixed Logit Model Approach, Transportation Research Record – Journal of Transportation Research Board, Vol. 2673, No. 4, pp. 1023-1034, 2019. 

[57] Yu, M. and Fan, W., Optimal Variable Speed Limit Control in Connected Autonomous Vehicle Environment for Relieving Freeway Congestion, ASCE Journal of Transportation Engineering, Part A: Systems, 145(4): 04019007, 2019. 

[56] Liu, P. and Fan, W., Modeling Head-On Crash Severity on NCDOT Freeways: A Mixed Logit Model Approach, Canadian Journal of Civil Engineering, Vol. 46, No. 4, pp. 322-328, 2019. 

[55] Huang, Z.Y., Xu, R.H., Fan, W., Zhou, F. and Liu, W., Service-Oriented Load Balancing Approach to Alleviating Peak-Hour Congestion in Metro Network Based on Multi-Path Accessibility, Sustainability, 11, 1293, 2019. 

[54] Chen, Z. and Fan, W., A Multinomial Logit Model of Pedestrian-Vehicle Crash Severity in North Carolina, International Journal of Transportation Science and Technology, Volume 8, Issue 1, pp. 43-52, 2019. 

[53] Jiang, Z.B., Gu, J.J., Fan, W., Liu, W. and Zhu, B.Q. Q-Learning Approach to Coordinated Optimization of Passenger Inflow Control with Train Skip-stopping on a Urban Rail Transit Line, Computers & Industrial Engineering, Volume 127, pp. 1131-1142, 2019.

2018

[52] Yu, M. and Fan, W., Accessibility Impact of Future High Speed Rail Corridor on the Piedmont Atlantic Megaregion, Journal of Transport Geography, Volume 73, pp. 1-12, 2018. 

[51] Jiang, Z., Gu, J.J., Han, Y.Z., Fan, W. and Chen, J.J., Modeling Actual Dwell Time for Rail Transit Using Data Analytics and Support Vector Regression, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 144 Issue 11, 04018071, 2018.

[50] Yu, M. and Fan, W., Optimal Variable Speed Limit Control at a Lane Drop Bottleneck: Genetic Algorithm Approach, ASCE Journal of Computing in Civil Engineering, Volume 32 Issue 6, 04018049, pp. 1-17, 2018. 

[49] Liu, F., Xu, R., Fan, W. and Jiang, Z., Data Analytics Approach for Train Timetable Performance Measures Using Automatic Train Supervision Data, IET Intelligent Transport Systems, Volume 12, Issue 7, pp. 568-577, 2018.

[48] Yu, M. and Fan, W., Tabu Search Strategies for Variable Speed Limit Control at a Lane Drop Bottleneck, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 144, Issue 7, 04018033, pp. 1-12, 2018. 

[47] Chen, Z. and Fan, W., Extracting Bus Transit Boarding Stop Information Using Smart Card Transaction Data, Journal of Modern Transportation, 26(3), pp. 209-219, 2018. 

[46] Jiang, Z., Fan, W., Liu, W., Zhu, B., Gu, J., Reinforcement Learning Approach for Coordinated Passenger Inflow Control of Urban Rail Transit in Peak Hours, Transportation Research Part C: Emerging Technologies, Volume 88, pp. 1-16, 2018.

[45] Gong, L. and Fan, W., Developing A Systematic Method for Identifying and Ranking Freeway Bottlenecks Using Vehicle Probe Data, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 144, Issue 3, 04017083, pp. 1-14, 2018.

2017

[44] Xu, R.H., Liu, F.B. and Fan, W., Train Operation Adjustment Strategies in Metro Based on Transfer Capacity Coordination, Journal of Transportation Systems Engineering and Information Technology, Vol. 17, No. 6, pp. 164-170, 2017. 

[43] Xu, Y.L., Xia, Y.Y. and Fan, W., Thermal Stability Analysis of High Modulus Asphalt Admixture with DSC Test, Journal of Building Materials, Volume 6, 2017.

[42] Pu, Z., Li, Z., Wang, Y., Ye, M. and Fan, W., Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes, Journal of Advanced Transportation, Volume 2017 (2017), Article ID 6973089, 9 pages, 2017. 

[41] Yu, M. and Fan, W., Calibration of Microscopic Traffic Simulation Models Using Metaheuristic Algorithms, International Journal of Transportation Science and Technology, 6(1), pp. 63–77, 2017. 

[40] Zhang, H.H., Fan, W., Liao, Z.H. and Jiang, J., Impacts of Parallel Runway Operation Modes on Air Traffic Flow Characteristics in Terminal Areas, Journal of Transportation Systems Engineering and Information Technology, Volume 17, Issue 3, 2017. 

[39] Gong, L. and Fan, W., Applying Travel Time Reliability Measures in Identifying and Ranking Recurrent Freeway Bottlenecks at Network Level, ASCE Journal of Transportation Engineering, Part A: Systems, Volume 143, Issue 8, 04017042, pp. 1-15, 2017.

[38] Gong, L. and Fan, W., Modeling Single-Vehicle Run-Off-Road Crash Severity in Rural Areas: Accounting for Unobserved Heterogeneity and Age Difference, Accident Analysis and Prevention, Vol. 101, pp. 124-134, 2017.

[37] Fan, W., Social Welfare Maximization by Optimal Toll Design for Congestion Management: Models and Comprehensive Numerical Results, Transportation Letters: the International Journal of Transportation Research, Volume 9, Issue 2, pp. 81-89, 2017. 

2016

[36] Zhang, H.H., Yang, X., Fan, W., Wang, Z. and Liao, Z., Guidance Control Strategy for Air Traffic Flow in Terminal Areas, Advances in Mechanical Engineering, Vol. 8(10), pp. 1–12, 2016.

[35] Fan, W., Gong, L., Washing, E., Yu, M. and Haile, E., Key Factors Contributing to Crash Severity at Highway-Rail Grade Crossings, Journal of Modern Transportation, 24(3), pp. 224-235, 2016.

[34] Gong, L. and Fan, W., Optimizing Scheduling of Long-Term Highway Work Zone Projects, International Journal of Transportation Science and Technology, Volume 5, Issue 1, pp. 17-27, 2016.

[33] Gong, L., Fan, W. and Washing, E., Modeling Severity of Single Vehicle Run-Off-Road Crashes in Rural Areas: Model Comparison and Selection, Canadian Journal of Civil Engineering, 43(6), pp. 493-503, 10.1139/cjce-2015-0449, 2016.

[32] Fan, W. Optimal Congestion Pricing Toll Design under Multiclass Transportation Network Schemes, Case Studies on Transport Policy, Vol. 4, No. 2, pp. 78-87, 2016. 

[31] Gong, L., Fan, W., Yu, M. and Washing, E., Calibrating Microscopic Traffic Simulation Models Using Speed-Flow Data, Journal of Advances in Transportation Studies, Volume 39, pp. 7-22, 2016.

[30] Fan, W., Gong, L. and Haile, E., Severity Analysis of Vehicle Crashes on Highway-Rail Grade Crossings: Ordered Response Logit Modeling, Journal of Advances in Transportation Studies, Volume 38, pp. 5-20, 2016. 

2015

[29] Fan, W., Optimal Congestion Pricing Toll Design for Revenue Maximization: Comprehensive Numerical Results and Implications, Canadian Journal of Civil Engineering, 42, pp. 544–551, 2015.

[28] Fan, W., Kane, M. and Haile, E., Analyzing Severity of Vehicle Crashes at Highway-Rail Grade Crossings: Multinomial Logit Modeling, Journal of Transportation Research Forum, Vol. 54, No. 2, pp. 39-56, 2015. 

[27] Fan, W. and Gurmu, Z., Dynamic Travel Time Prediction Models for Buses Using Only GPS Data, International Journal of Transportation Science and Technology, Vol. 4, No. 4, pp. 353-370, 2015. 

[26] Fan, W., Kane, M. and Haile, E., Predicting the Severity of Pedestrian Crashes on Highway-Rail Grade Crossing, Journal of Advances in Transportation Studies, Volume 36, pp. 63-74, 2015.

[25] Fan, W., Optimal Pricing and Highway Network Improvement Problem under a Build-Operate-Transfer Scheme, Journal of Advances in Transportation Studies, Volume 35, pp. 43-54, 2015. 

2014

[24] Fan, W., Choe, S.Y. and Leite F., Prevention of Backover Fatalities in Highway Work Zones: A Synthesis of Current Practices and Recommendations, International Journal of Transportation Science and Technology, Vol. 3, No. 4, pp. 311-338, 2014. 

[23] Fan, W., Optimizing Strategic Allocation of Vehicles for One-way Car-sharing Systems under Demand Uncertainty, Journal of Transportation Research Forum, Vol. 53, No. 3, pp. 7-20, 2014.

[22] Fan, W. and Wang, F., Managing Pavement Maintenance and Rehabilitation Projects under Budget Uncertainties: A Stochastic Optimization Approach, Journal of Transportation Systems Engineering and Information Technology, Elsevier, Vol. 14, No. 6, pp. 92-100, 2014. 

[21] Fan, W. and Gurmu, Z., Combined Decision Making of Congestion Pricing and Capacity Expansion: Genetic Algorithm Approach, ASCE Journal of Transportation Engineering, Volume 140, No. 8, 04014031, 2014.

[20] Gurmu, Z. and Fan, W., Artificial Neural Network Travel Time Prediction Model for Buses Using Only GPS Data, Journal of Public Transportation, Volume 17, No. 2, pp. 45-65, 2014. 

[19] Fan, W., Machemehl, R., Gemar, M. and Brown, L., A Stochastic Dynamic Programming Approach for the Equipment Replacement Optimization with Probabilistic Vehicle Utilization, Journal of Transportation Systems Engineering and Information Technology, Volume 14, Issue 3, pp. 76-84, Elsevier, 2014. 

[18] Fan, W. and Gurmu, Z., Optimal Bus Scheduling with Dynamic Stochastic Demand: Simulation Framework and Result Analyses, Journal of Advances in Transportation Studies, Volume 32, pp. 65-74, 2014.

2013 and Before

[17] Fan, W., Gemar, M. and Machemehl, R., Equipment Replacement Decision Making: Challenges and Opportunities, Journal of Transportation Research Forum, Volume 52, No. 3, pp. 79-90, 2013. 

[16] Fan, W., Managing Dynamic Vehicle Allocation for Car Sharing Systems: A Stochastic Programming Approach, Transportation Research Record – Journal of Transportation Research Board, Issue 2359, pp. 51-58, 2013. 

[15] Fan, W., Machemehl, R. and Gemar, M. Optimization of Equipment Replacement Dynamic Programming-Based Optimization, Transportation Research Record – Journal of Transportation Research Board, Volume 2292, pp. 160-170, 2012. 

[14] Winkler, M. and Fan, W. Evaluating Impacts on Freeway Capacity using VISSIM: Accounting for Driver Behavior, Interchange Density, and Truck Lane Restrictions, Journal of Advances in Transportation Studies, Vol. 25, pp. 15-28, 2011. 

[13] Fan, W. and Machemehl, R. A Bi-level Optimization Model for the Public Transportation Network Redesign Problem: Accounting for Equity Issues. Transportation Research Record – Journal of Transportation Research Board, Issue 2263, pp. 151-162, Washington D.C., 2011. 

[12] Fan, W., Machemehl, R. and Kortum, K. Equipment Replacement Optimization: Part I. Solution Methodology, Statistical Data Analysis, and Cost Forecasting. Transportation Research Record – Journal of Transportation Research Board, Issue 2220, pp. 88-98, Washington D.C., 2011.

[11] Fan, W., Winkler, M. and Tian, Z. Arterial Signal Timing and Coordination: Sensitivity Analyses, Partition Techniques, and Performance Comparisons, Journal of Advances in Transportation Studies, Issue 23, 2010.

[10] Fan, W. and Machemehl, R.B. Do Transit Users Just Wait or Wait with Strategies for the Bus? Some Numerical Results You Should See as a Transit Planner. Transportation Research Record: Journal of Transportation Research Board, Vol. 2111, pp. 169-176, 2009.

[9] Fan, W., Machemehl, R.B. and Lownes, N. Carsharing: Dynamic Vehicle Allocation Decision-Making Problem. Transportation Research Record - Journal of Transportation Research Board, Vol. 2063, pp. 97-104, 2008. 

[8] Fan, W. and Machemehl, R.B. Tabu Search Strategies for the Public Transportation Network Optimizations with Variable Transit Demand. Journal of Computer-Aided Civil and Infrastructure Engineering, Volume 23 Issue 7, pp. 502-520, 2008.

[7] Fan, W., Machemehl, R.B. and Lownes, N. Some Computational Insights on the Optimal Bus Transit Route Network Design Problem. Journal of Transportation Research Forum, Volume 47, Issue 3, pp. 61-75, 2008. 

[6] Fan, W. and Machemehl, R.B. A Tabu Search Based Heuristic Method for the Transit Route Network Design Problem. Computer Aided Scheduling of Public Transport Book, Springer Series, Lecture Notes in Economics and Mathematical Systems, January 2008.

[5] Fan, W. and Machemehl, R.B. A Multi-stage Monte Carlo Sampling Based Stochastic Programming Model for the Dynamic Vehicle Allocation Problem. Journal of Advances in Transportation Studies, Vol. 12, pp. 27-44, 2007. 

[4] Fan, W. and Machemehl, R.B. Using a Simulated Annealing Algorithm to Solve the Transit Route Network Design Problem. ASCE Journal of Transportation Engineering, Volume 132, Issue 2, pp. 122-132, 2006.

[3] Fan, W. and Machemehl, R.B. Optimal Transit Route Network Design Problem with Variable Transit Demand: A Genetic Algorithm Approach. ASCE Journal of Transportation Engineering, Volume 132, Issue 1, pp. 40-51, 2006. 

[2] Ye, Y., Fan, W. and Wu, J., Study on the Railway Transportation Routing and Reverse Reception Crossing of the Classification Train in One-way Marshalling Yard. Journal of Shanghai TieDao University, Shanghai, P.R.China, 2000. 

[1] Fan, W. and Xu, R., Computer System Simulation for the Transportation Network Optimization under the Condition of Raising Train Speed. China Railway Technology, 1998. 

“Stay hungry. Stay foolish. Never let go of your appetite to go after new ideas, new experiences, and new adventures.” ― Steve Jobs