Yuan Liao

Doctoral Student at Physical Resource Theory

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

Contact Details ORCID

Publications (15)
Projects (1)

Showing 15 publications

2021

Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016

Guofa Li, Yuan Liao, Qiangqiang Guo et al

International Journal of Environmental Research and Public Health. Vol. 18 (3), p. 1-24

Journal article

2021

Feasibility of estimating travel demand using geolocations of social media data

Yuan Liao, Sonia Yeh, Jorge Gil

Transportation. Vol. In Press

Journal article

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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 (1)

Journal article

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2020

Understanding Human Mobility with Emerging Data Sources: Validation, spatiotemporal patterns, and transport modal disparity

Yuan Liao

Licentiate thesis

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2020

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. 39 (12), p. 1308-1319

Journal article

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 (1)

Journal article

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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

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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

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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

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