Xishun Liao

According to our database, Xishun Liao authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0.

Xu Han, Zonglin Meng, Xin Xia, Xishun Liao, Brian Yueshuai He, Zhaoliang Zheng, Yutong Wang, Hao Xiang, Zewei Zhou, Letian Gao, Lili Fan, Yuke Li, Jiaqi Ma

IEEE Trans. Intell. Veh., January, 2024

2023

Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior.

Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu

IEEE Internet Things J., August, 2023

Game Theoretic Application to Intersection Management: A Literature Review.

Ziye Qin, Ang Ji, Zhanbo Sun, Guoyuan Wu, Peng Hao, Xishun Liao

CoRR, 2023

Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control.

Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Exploring Vehicular Interaction from Trajectories Based on Granger Causality.

Xishun Liao, Guoyuan Wu, Matthew J. Barth, Rohit Gupta, Kyungtae Han

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control.

Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach.

Xuanpeng Zhao, Xishun Liao, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation.

Xishun Liao, Xuanpeng Zhao, Ziran Wang, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu

IEEE Trans. Syst. Man Cybern. Syst., 2022

Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication.

Xishun Liao, Ziran Wang, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu

IEEE Trans. Intell. Transp. Syst., 2022

Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments.

Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu

IEEE Intell. Transp. Syst. Mag., 2022

Driver Profile Modeling Based on Driving Style, Personality Traits, and Mood States.

Xishun Liao, Shashank Mehrotra, Samson Ho, Yuki Gorospe, Xingwei Wu, Teruhisa Misu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Online Prediction of Lane Change with a Hierarchical Learning-Based Approach.

Xishun Liao, Ziran Wang, Xuanpeng Zhao, Zhouqiao Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform.

Xishun Liao, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Ziran Wang, Kyungtae Han, Prashant Tiwari

CoRR, 2021

2020

Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach.

Ziran Wang, Xishun Liao, Chao Wang, David Oswald, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Kyungtae Han, BaekGyu Kim, Prashant Tiwari

IEEE Trans. Intell. Veh., 2020

End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning.

Zhensong Wei, Yu Jiang, Xishun Liao, Xuewei Qi, Ziran Wang, Guoyuan Wu, Peng Hao, Matthew J. Barth

CoRR, 2020

A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems.

Ziran Wang, Xishun Liao, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020