Overview
Background
Xiaolin is a Lecturer in Civil Engineering at The University of Queensland. Her research focuses on transport modelling, predictive analytics, and the integration of emerging vehicle technologies into urban mobility.
Her current research examines autonomous modular vehicles and the design of integrated transport systems. She develops modelling and optimisation methods for door-to-door feeder services connected to high-capacity modular transit corridors, with the aim of improving transport efficiency, accessibility, sustainability and equity.
Before joining UQ, Xiaolin was a Postdoctoral Associate at the Center for Interacting Urban Networks at New York University Abu Dhabi. She received her PhD in Transport Modelling from the University of Sydney and holds a Master’s degree in Transportation Systems from the Technical University of Munich.
Xiaolin also has industry experience at the BMW AG Research and Innovation Centre in Munich. She has published in leading transport journals, including Transportation Research Part B and Transportation Research Part E, and serves as a reviewer for Transportation Letters, Transportmetrica A and Transportmetrica B.
Availability
- Dr Xiaolin Gong is:
- Available for supervision
Fields of research
Qualifications
- Doctor of Philosophy of Transport, University of Sydney
Research impacts
Xiaolin’s research bridges fundamental transport theory and emerging mobility technologies to support more efficient, accessible and sustainable urban transport systems. Grounded in transport modelling, traffic flow theory and public transport operations, her work combines mathematical analysis, optimisation and data-driven methods to address practical mobility challenges.
Her research develops theory-based models to explain how transport systems respond to changing passenger demand, operational constraints and new service concepts. These models provide transport planners and operators with tools to evaluate network performance, service reliability, accessibility, equity and environmental outcomes before implementing new systems in practice.
Her current work focuses on autonomous modular vehicles and their integration into public transport networks. In particular, she investigates how flexible door-to-door feeder services can connect with high-capacity modular transit corridors. This research supports the design of more responsive and passenger-centred services while improving the use of transport resources.
By connecting rigorous theoretical modelling with emerging technologies and real-world transport applications, Xiaolin’s research contributes to evidence-based planning and the transition towards smarter, more sustainable and equitable urban mobility systems.
Works
Search Professor Xiaolin Gong’s works on UQ eSpace
2025
Journal Article
A spatial–temporal dynamic attention-based Mamba model for multi-type passenger demand prediction in multimodal public transit systems
Shao, Zhiqi, Xi, Haoning, Hensher, David A., Wang, Ze, Gong, Xiaolin and Gao, Junbin (2025). A spatial–temporal dynamic attention-based Mamba model for multi-type passenger demand prediction in multimodal public transit systems. Transportation Research Part E: Logistics and Transportation Review, 202 104282, 202. doi: 10.1016/j.tre.2025.104282
2025
Journal Article
A systematic review of node models for macroscopic network loading of traffic flows
Gong, Xiaolin, Raadsen, Mark P.H. and Bliemer, Michiel C.J. (2025). A systematic review of node models for macroscopic network loading of traffic flows. Transportation Research Part B: Methodological, 199 103273, 199. doi: 10.1016/j.trb.2025.103273
2025
Journal Article
Extended macroscopic node model for multilane traffic
Gong, Xiaolin, Bliemer, Michiel C.J. and Raadsen, Mark P.H. (2025). Extended macroscopic node model for multilane traffic. Transportation Research Part B: Methodological, 195 103208, 195. doi: 10.1016/j.trb.2025.103208
2025
Journal Article
Incorporation of endogenous exit capacities in node models with various movement exit speeds
Gong, Xiaolin, Bliemer, Michiel C.J., Raadsen, Mark P.H. and Tsoutsanis, Aristotelis (2025). Incorporation of endogenous exit capacities in node models with various movement exit speeds. Transportmetrica A: Transport Science. doi: 10.1080/23249935.2025.2590130
Supervision
Availability
- Dr Xiaolin Gong is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
-
Transport modelling and optimisation of automated and modular mobility systems
Develop transport modelling and optimisation methods to design and operate connected, automated, shared and modular mobility systems in urban networks.
Media
Enquiries
For media enquiries about Dr Xiaolin Gong's areas of expertise, story ideas and help finding experts, contact our Media team: