Feixiong Liao is an assistant professor at the Urban Planning Group of Eindhoven University of Technology (TU/e). His fields of expertise include urban and rural planning, traffic and transport studies, software, algorithms and control systems. Feixiong’s current research activities are focused on development of a large-scale model system of urban transportation planning. He is an expert on the frontier of multi-state supernetwork modeling for interdependent decision problems.
He received his PhD (cum laude, less than 5% nationwide) from TU/e 2013. During his studies, he worked with a large consortium to examine how accessibility in the Netherlands’ Randstad region, which consists of the four largest Dutch cities and their surrounding regions, can be improved by implementing synchronization strategies.
After completing his PhD, he became a post-doc researcher at the same group, conducting research on travel behavior modeling and dynamic activity-travel assignment. In collaboration with Beihang University, his post-doc research attempted to solve a vital shortcoming of the existing travel demand forecasting systems by coupling activity-based modeling and dynamic traffic assignment in the multi-state supernetworks. He also coordinated a large-scale data collection on mode/route choice behavior in Beijing. Being an active researcher, he has held visiting scholarship at UMASS (Massachusetts), ETH (Zurich), KIT (Karlsruhe) and Beihang (Beijing).
Analysis of energy consumption reduction in metro systems using rollingstop-skipping patternsComputers & Industrial Engineering (2019)
Tolerance-based strategies for extending the column generation algorithm to the bounded rational dynamic user equilibrium problemTransportation Research. Part B: Methodological (2018)
An investigation on the effects of holidays on airport landside passenger volume17th COTA International Conference of Transportation Professionals (CICTP 2017) (2018)
Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model : a demand-side modelTransportation Research. Part B: Methodological (2018)
Activity-based space-time prismsThe 21ST International Conference of Hong Kong Society for Transportation Studies (2018)
- Mobility and logistics
- Design project on smart mobility
No ancillary activities