Student Achievements

CAMMSE Graduate Student Journal Publications – author or co-author:

  1. Song, L. and Fan, W., Traffic Signal Control in Connected and Automated Environment: A Transfer-Based Deep Reinforcement Learning Approach while Accounting for Mixed Traffic Flow on Varying Information Levels, Accepted for Publication, IEEE Access, October 2021.
  2. Liu, S., Li, Y. and Fan, W., Mixed Logit Model Based Diagnostic Analysis of Bicycle-Vehicle Crashes at Daytime and Nighttime, Accepted for Publication, International Journal of Transportation Science and Technology, October 2021.
  3. Chen, Z. and Fan, W., A Freeway Travel Time Prediction Method Based on an XGBoost Model, Sustainability, 13(15), 8577, https://doi.org/10.3390/su13158577, 2021.
  4. 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, Accepted for Publication, Journal of Transportation Safety & Security, https://doi.org/10.1080/19439962.2021.1958037, July 2021.
  5. 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, Accepted for Publication, Analytic Methods in Accident Research, June 2021.
  6. Qiu, B. and Fan, W., Machine Learning Based Short-Term Travel Time Prediction: Numerical Results and Comparative Analyses, Accepted for Publication, Sustainability, June 2021.
  7. Qiu, B. and Fan, W., Travel Time Forecasting on a Freeway Corridor: a Dynamic Information Fusion Model based on the Random Forests Approach, Accepted for Publication, Smart and Resilient Transportation, June 2021.
  8. Li, Y. and Fan, W., Bi-Level Optimization of Long-Term Highway Work Zone Scheduling Considering Elastic Demand, Accepted for Publication, Smart and Resilient Transportation, June 2021.
  9. 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, June 2021.
  10. Qiu, B. and Fan, W., Mixed Logit Models for Examining Pedestrian Injury Severities at Intersection and Non-Intersection Locations, Accepted for Publication, Journal of Transportation Safety & Security, April 2021.
  11. Liu, P. and Fan, W., Extreme Gradient Boosting (XGBoost) Model for Vehicle Trajectory Prediction in Connected and Autonomous Vehicle Environment, Accepted for Publication, Promet – Traffic&Transportation, April 2021.
  12. 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, Accepted for Publication, Transportation Planning and Technology, April 2021.
  13. Liu, S. and Fan, W., Investigating Operational Performance of Connected and Autonomous Vehicles on Signalized Superstreets, Accepted for Publication, Transportation Planning and Technology, April 2021.
  14. 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, April 2021.
  15. 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, Accepted for Publication, Journal of Safety Research, March 2021.
  16. 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, Accepted for Publication, Traffic Injury Prevention, February 2021.
  17. 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, March 2021, 100152.
  18. 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, February 2021.
  19. 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, February 2021.
  20. 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.
  21. 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, December 2020, 100137.
  22. 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, December 2020.
  23. 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, September 2020, https://doi.org/10.1080/19439962.2020.1821850.
  24. 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, August 2020, https://doi.org/10.1080/19439962.2020.1812784.
  25. 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, August 2020, https://doi.org/10.1139/cjce-2020-0378.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. Liu, P. and Fan, W., Analysis of Head-On Crash Severity Using A Partial Proportional Odds Model, Journal of Transportation Safety & Security, https://doi.org/10.1080/19439962.2019.1667933, September 2019.
  36. 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.
  37. Chen, Z. and Fan, W., Data Analytics Approach for Travel Time Reliability Pattern Analysis and Prediction, Journal of Modern Transportation, https://doi.org/10.1007/s40534-019-00195-6, pp. 1-16, 2019.
  38. Lin, Z. and Fan, W., Cyclist Injury Severity Analysis with Mixed Logit Models at Intersections and Non-intersection Locations, Journal of Transportation Safety & Security, https://doi.org/10.1080/19439962.2019.1628140, May 2019.
  39. 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, https://doi.org/10.1139/cjce-2018-0781, 2019.
  40. 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, https://doi.org/10.1177/0361198119842828, Vol. 2673, No. 5, pp. 731-746, 2019.
  41. 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, https://doi.org/10.1177/0361198119842825, Vol. 2673, No. 4, pp. 1023-1034, 2019.
  42. 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, http://doi.org/10.1061/JTEPBS.0000227, April, 2019.
  43. Liu, P. and Fan, W., Modeling Head-On Crash Severity on NCDOT Freeways: A Mixed Logit Model Approach, Canadian Journal of Civil Engineering, https://doi.org/10.1139/cjce-2018-0262, Vol. 46, No. 4, pp. 322-328, 2019.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.