Yuan Liao
Doctoral Student at
Chalmers, Space, Earth and Environment, Physical Resource Theory, Physical Resource Theory 2
I am currently a PhD student in data science and transport at Chalmers University of Technology, working on a research program to understand human mobility patterns using social media data. 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. My research vision is data-driven understanding of humans to empower future intelligent transportation.
Source: orcid.org
Showing 11 publications
2019
Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations
Guofa Li, Shengbo Li, Ruobing Zou et al
Mechanical Systems and Signal Processing. Vol. 132 (1), p. 535-545
Journal article
2019
From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data
Yuan Liao, Sonia Yeh, Gustavo S. Jeuken
EPJ Data Science. Vol. 8, p. 1-22
Journal article
2019
How drivers respond to visual vs. auditory information in advisory traffic information systems
Minjuan Wang, Yuan Liao, Sus Lyckvi et al
Behaviour and Information Technology
Journal article
2018
Understanding Driver Response Patterns to Mental Workload Increase in Typical Driving Scenarios
Yuan Liao, Guofa Li, Shengbo Li et al
IEEE Access
Journal article
2018
Cross-regional driver-vehicle interaction design: An interview study on driving risk perceptions, decisions, and ADAS function preferences
Yuan Liao, Minjuan Wang, Lian Duan et al
IET Intelligent Transport Systems. Vol. 12 (8), p. 801-808
Journal article
2018
Predictability in Human Mobility based on Geographical-boundary-free and Long-time Social Media Data
Yuan Liao, Sonia Yeh
2018 21st International Conference on Intelligent Transportation Systems (ITSC), p. 2068-2073
Paper in proceedings
2017
Decision Tree-Based Maneuver Prediction for Driver Rear-End Risk-Avoidance Behaviors in Cut-In Scenarios
M. Hu, Yuan Liao, W. Wang et al
Journal of Advanced Transportation, p. 1-12
Journal article
2017
Context-Adaptive support information for truck drivers: An interview study on its contents priority
Yuan Liao, G. Li, Fang Chen
28th IEEE Intelligent Vehicles Symposium, IV 2017, Redondo Beach, United States, 11-14 June 2017, p. 1268-1273
Paper in proceedings
2017
Cross-regional Study on Driver Response Behaviour Patterns and System Acceptance with Triggered Forward Collision Warning
Yuan Liao, Lian Duan, Minjuan Wang et al
2017 IEEE Intelligent Vehicles Symposium, p. 565-570
Paper in proceedings
2016
Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway
Yuan Liao, S.E. Li, W. Wang et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 17 (6), p. 1628-1637
Journal article
2016
Detection of driver cognitive distraction: An SVM based real-time algorithm and its comparison study in typical driving scenarios
Yuan Liao, Shengbo Li, G. Li et al
IEEE Intelligent Vehicles Symposium, Proceedings. 2016 IEEE Intelligent Vehicles Symposium, IV 2016; Gotenburg; Sweden; 19-22 June 2016. Vol. 2016-August (Art no 7535416), p. 394-399
Paper in proceedings
Showing 1 research projects
2017–2019
Sustainable cities: the use of large amounts of data to understand and handle movement patterns and congestion
Sonia Yeh
Physical Resource Theory
Yuan Liao
Physical Resource Theory 2
Formas
There might be more projects where Yuan Liao participates, but you have to be logged in as a Chalmers employee to see them.