Xiaohui Zhang
PhD
Tongji University
I am passionate about advancing AI in transportation, and studying the driving behavior of AI-driven autonomous vehicles, their interactions with human drivers, and the resulting impacts on system-level traffic flow dynamics.
Interests
- Autonomous driving
- AI in Transportation Research
- Traffic flow theory and simulation
Education
PhD Transportation
Tongji University & NUS
MEng Transportation
Tongji University
BSc Transportation and Applied Mathematics
Tongji University
My Research
I have published multiple papers in leading journals such as Transportation Research Part C and Communications in Transportation Research. My publications have collectively received over 500 citations.
Publications
(2025).
On the stochastic fundamental diagram: A general micro-macroscopic traffic flow modeling framework.
Communications in Transportation Research.
(2025).
Stochastic fundamental diagram modeling of mixed traffic flow: A data-driven approach.
Transportation Research Part C: Emerging Technologies.
(2024).
On the string stability of neural network-based car-following models: A generic analysis framework.
Transportation Research Part C: Emerging Technologies.
(2023).
A Hierarchical Framework for Multi-Lane Autonomous Driving Based on Reinforcement Learning.
IEEE Open Journal of Intelligent Transportation Systems.
(2022).
Autonomous vehicles’ intended cooperative motion planning for unprotected turning at intersections.
IET Intelligent Transport Systems.
(2019).
Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment.
Transportation Research Part C: Emerging Technologies.
(2019).
Simultaneous modeling of car-following and lane-changing behaviors using deep learning.
Transportation Research Part C: Emerging Technologies.