Yuan Liao

Doktorand vid Fysisk resursteori 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.

Källa: orcid.org

Visar 13 publikationer

2020

Disparities in travel times between car and transit: Spatiotemporal patterns in cities

Yuan Liao, Jorge Gil, Rafael H. M. Pereira et al
Scientific Reports. Vol. 10
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
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 (1)
Artikel i vetenskaplig tidskrift
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. Vol. in press
Artikel i vetenskaplig tidskrift
2018

Understanding Driver Response Patterns to Mental Workload Increase in Typical Driving Scenarios

Yuan Liao, Guofa Li, Shengbo Li et al
IEEE Access
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
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 i proceeding
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
Artikel i vetenskaplig tidskrift
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 i proceeding
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 i proceeding
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
Artikel i vetenskaplig tidskrift
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 i proceeding

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