Yuan Liao
I am currently a postdoc in mobility data science at Chalmers University of Technology. I received my B.E. and M.S. degree in automotive engineering from Tsinghua Univ., Beijing, China, in 2013 and 2016, respectively. I received the Excellent Graduate Student Award and the Excellent Master Thesis Award in July 2016. I received Ph.D. degree from Chalmers University of Technology, Gothenburg, Sweden in 2021. My research vision is data-driven understanding of humans to empower future intelligent transportation. My active research interests include mobility patterns, sustainable mobility, transportation, and geographic data science.

Showing 19 publications
Synthetic Sweden Mobility (SySMo) Model Documentation
Feasibility of estimating travel demand using geolocations of social media data
Ride-sourcing compared to its public-transit alternative using big trip data
A Mobility Model for Synthetic Travel Demand from Sparse Individual Traces
Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016
Disparities in travel times between car and transit: Spatiotemporal patterns in cities
How drivers respond to visual vs. auditory information in advisory traffic information systems
Understanding Driver Response Patterns to Mental Workload Increase in Typical Driving Scenarios
Predictability in Human Mobility based on Geographical-boundary-free and Long-time Social Media Data
Context-Adaptive support information for truck drivers: An interview study on its contents priority
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