Yuan Liao

Doktorand vid Chalmers, Rymd-, geo- och miljövetenskap, Fysisk resursteori, 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 11 publikationer

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, p. 1-22
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
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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Visar 1 forskningsprojekt

2017–2019

Hållbara städer: användande av stora datamängder för att förstå och hantera rörelsemönster och trafikstockningar

Sonia Yeh Fysisk resursteori
Yuan Liao Fysisk resursteori 2
Formas

Det kan finnas fler projekt där Yuan Liao medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.