Li Song

Li Song

Ph.D. University of North Carolina at Charlotte

Publications

More info about Li Song can be found in Research Gate.or Google Scholar.

Total: 31 ；SCI: 25； EI: 5 ；Others: 1 (note: corresponding author is noted with #; cooperative first author is noted with *;)

Journal Article:

  1. Luo, S., Liu, B., Song, L.#, Xia, J. (2024). A Field Study about the Effects of Asymmetric Visual Perception on Lateral Driving Behaviors on Curves. Journal of Transportation Engineering, Part A: Systems. （SCI）
  2. Feng, L., Zhao, X.#, Chen, Z., Song, L. (2024). An adaptive coupled control method based on vehicles platooning for intersection controller and vehicle trajectories in mixed traffic. IET Intelligent Transport Systems.（SCI）
  3. Zhang, X., Guo, X., Yu, H., Guo, Y., Song L., Zhao, X. (2024) 3D visualisation method for urban road waterlogging based on mobile augmented reality. International Journal of Digital Earth. 17(1). 2378823.（SCI）
  4. Song, L. and Fan, W.#, (2023). Performance of State-Shared Multi-Agent Deep Reinforcement Learning Controlled Signal Corridor with Platooning-Based CAVs, ASCE Journal of Transportation Engineering, Part A: System,（SCI, IF:2.252）
  5. Song, L. and Fan, W.#, (2023). Intersection capacity adjustments considering different market penetration rates of connected and automated vehicles. Transportation Planning and Technology（SCI）
  6. Li, Y., Fan, W., Song, L. and Liu, S. (2022). 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. (SCI, Q3, IF:3.0)
  7. Yang, T., Fan, W. and Song, L. (2022). Modelling Pedestrian Injury Severity in Pedestrian-Vehicle Crashes Considering Different Land Use Patterns: Mixed Logit Approach, Accepted for Publication, Traffic Injury Prevention. (SCI, IF:1.5)
  8. Hua, C., Fan, W., Song, L. and Liu, S. (2022). 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. (SCI, IF:2.3)
  9. Wu, P., Song, L., Meng, X.# (2022). Temporal analysis of cellphone-use-involved crash injury severities: Calling for preventing cellphone-use-involved distracted driving. Accident Analysis and Prevention, 169, 106625. (SCI, Q1, IF:5.0)
  10. Song, L. and Fan, W.#, (2021). Traffic signal control under mixed traffic with connected and automated vehicles: a transfer-based deep reinforcement learning approach. IEEE Access, 9, 145228-145237. [DOI][PDF]
  11. Song, L., Fan, W.# and Li, Y. (2021). 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, 32, 100183. (SCI, Q1, IF:11.8, Ranked 1st in Transportation Journals)[DOI][PDF]
  12. Wu, P., Meng, X.#, Song, L. (2021). Bayesian space-time modeling of bicycle and pedestrian crash risk by injury severity levels to explore the long-term spatiotemporal effects. Physica A: Statistical Mechanics and its Applications, 581, 126171. (SCI, Q2, IF:3.3) [DOI][PDF]
  13. Wu, P., Meng, X.#, Song, L. (2021). Identification and spatiotemporal evolution analysis of high-risk crash spots in urban roads at the microzone-level: Using the space-time cube method. Journal of Transportation Safety and Security (SCI, Q3, IF:3.0) [DOI][PDF]
  14. Wu, P., Song, L., Meng, X.# (2021). Influence of built environment and roadway characteristics on the frequency of vehicle crashes caused by driver inattention: a comparison between rural roads and urban roads. Journal of Safety Research. (SCI, Q1, IF: 3.5)
  15. Song, L., Fan, W.,# Liu, P. (2021). Exploring the effects of connected and automated vehicles at fixed and actuated signalized intersections with different market penetration rates, Transportation Planning and Technology, 44(6), 577-593. (SCI, Q4, IF: 1.2) [DOI][PDF]
  16. Song, L., Li, Y., Fan, W.,# Liu, P. (2021). 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. (SCI, Q4, IF: 1.5) [DOI][PDF]
  17. Song, L., Fan, W.,# Li, Y., Wu, P. (2021). 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, 76, 184-196. (SCI, Q1, IF: 3.5)[DOI][PDF]
  18. Li, Y., Song, L., Fan, W. (2021). Day-of-week variations and the 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, 29, 100152. (SCI, Q1, IF:11.8, Ranked 1st in Transportation Journals)[DOI][PDF]
  19. Song, L., Fan, W.# (2020). Exploring Truck Driver-Injury Severity at Intersections Considering Heterogeneity in Latent Classes: A Case Study of North Carolina, Accepted for Publication, International Journal of Transportation Science and Technology, 10(2), 110-120. (EI)[DOI][PDF]
  20. Song, L., Li, Y., Fan, W., Wu, P. (2020). Modeling pedestrian-injury severities in pedestrian-vehicle crashes considering spatiotemporal patterns: insights from different hierarchical Bayesian random-effects models. Analytic Methods in Accident Research, 28, 100137.(SCI, Q1, IF:11.8, Ranked 1st in Transportation Journals)[DOI][PDF]
  21. Song, L., Fan, W.# (2020). 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, 144, 105638, September 2020. (SCI, Q1, IF:5.0)[DOI][PDF]
  22. Wu, P., Meng, X.,# Song, L. (2019). A novel ensemble learning method for crash prediction using road geometric alignments and traffic data. Journal of Transportation Safety and Security, 12(9), 1128-1146. (SCI, Q3, IF:3.0)[DOI][PDF]
  23. Chen, J., Xue, K., Song, L.#, et. al. (2019). Periodicity of world crude oil maritime transportation: Case analysis of Aframax Tanker market. Energy Strategy Reviews, 25, 47-55. (SCI, Q2, IF:6.4)[DOI][PDF]
  24. Wu, P., Meng, X.#, Song, L., Zuo, W. (2019). Crash Risk Evaluation and crash severity pattern analysis for different types of urban junctions: fault tree analysis and association rules approaches. Transportation research record, 2673(1), 403-416. (SCI, Q4, IF:1.6) [DOI][PDF]
  25. Wang, X., Song, L.#, Wu, Z., Wu, P. (2019). Development of a road shoulder’s equivalent sound source traffic noise prediction model. Proceedings of the Institution of Civil Engineers-Transport, 1-10. (SCI, Q4, IF:1.1) [DOI][PDF]
  26. Song, L., Chen, J.#, Li, K. X., Liu, X., Fei, Y., Yu, H. (2018). Periodical characteristics of shipbuilding market activity: A wavelet analysis. Journal of Marine Science and Technology, 26(5), 692-702. (SCI, Q4)[DOI][PDF]

Conference Article:

  1. Li, S., Lei, L., Deng, Z., Sheng, B., Song, L.# (2024) Dynamic Calibration of Car-following Models Considering Driver Compliance with Speed Limits. World Transportation Conference 2024, 1-18.
  2. Xu, P., Zhang, B., Zeng, J., Song, L.# (2024). A Machine Learning Framework for Analyzing the Causes of Traffic Accident-Induced Congestion. In CICTP 2024.
  3. Wang, X., Song, L., Wu, P., Yu, S. (2019). Analysis of Unconventional Design for Signalized and Closely-Spaced T-Intersections. In CICTP 2019 (pp. 2636-2647). (EI) [DOI][PDF]
  4. Wang, X., Song, L., Wu, P. (2018, September). A Novel Method of Island Port’s Transport: Automatic Guided Vehicle Approach. In 2018 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE) (pp. 219-224). IEEE. (EI) [DOI][PDF]