Xuesong Wang

Orcid: 0000-0001-8046-3213

Affiliations:
  • Tongji University, School of Transportation Engineering, Shanghai, China
  • University of Central Florida, Orlando, FL, USA (PhD 2006)


According to our database1, Xuesong Wang authored at least 22 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Readiness Evaluation of Freeways for Lane-Detection Performance of Lidar-Based Automated Vehicles: A Field Test Analysis.
IEEE Trans. Intell. Transp. Syst., August, 2025

Digitizing traffic rules to guide automated vehicle trajectory planning.
Expert Syst. Appl., 2025

2024
Data-Driven Traffic Simulation: A Comprehensive Review.
IEEE Trans. Intell. Veh., April, 2024

LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024

MetaFollower: Adaptable Personalized Autonomous Car Following.
CoRR, 2024

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.
CoRR, 2024

AccidentGPT: A V2X Environmental Perception Multi-modal Large Model for Accident Analysis and Prevention.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model.
CoRR, 2023

BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning.
CoRR, 2023

2022
Calibrating and Comparing Autonomous Braking Systems in Motorized-to-Non-Motorized-Vehicle Conflict Scenarios.
IEEE Trans. Intell. Transp. Syst., 2022

TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer.
CoRR, 2022

2019
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving.
CoRR, 2019

Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning.
CoRR, 2019

2018
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study.
CoRR, 2018

Expressway Crash Prediction based on Traffic Big Data.
Proceedings of the 2018 International Conference on Signal Processing and Machine Learning, 2018

Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

Speeding Behavior Estimation Using Stop-and-Go Events Based on Velocity Data.
Proceedings of the IEEE International Conference on Communication Systems, 2018

Research on Automated Modeling Algorithm Using Association Rules for Traffic Accidents.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
A hybrid approach for urban expressway traffic incident duration prediction with Cox regression and random survival forests models.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

Utilizing latent class logit model to predict crash risk.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2016
Development of a Kinematic-Based Forward Collision Warning Algorithm Using an Advanced Driving Simulator.
IEEE Trans. Intell. Transp. Syst., 2016

2014
Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management.
IEEE Trans. Intell. Transp. Syst., 2014


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