Publications

Yuan Liao, Jorge Gil, Sonia Yeh, Rafael H. M. Pereira, Laura Alessandretti (2024). Socio-spatial segregation and human mobility: A review of empirical evidence. In arXiv.

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Yuan Liao, Çağlar Tozluoğlu, Frances Sprei, Sonia Yeh, Swapnil Dhamal (2023). Impacts of charging behavior on BEV charging infrastructure needs and energy use. In TRD Transport and Environment.

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Yuan Liao, Kristoffer Ek, Eric Wennerberg, Sonia Yeh, Jorge Gil (2022). A Mobility Model for Synthetic Travel Demand From Sparse Traces. In IEEE Open Journal of Intelligent Transportation Systems.

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Yuan Liao (2021). Ride-sourcing compared to its public-transit alternative using big trip data. In Journal of Transport Geography.

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Yuan Liao (2021). Understanding Mobility and Transport Modal Disparities Using Emerging Data Sources: Modelling Potentials and Limitations. In RESEARCH.chalmers.se.

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Guofa Li, Yuan Liao, Qiangqiang Guo, Caixiong Shen, Weijian Lai (2021). Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016. In International Journal of Environmental Research and Public Health.

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Yuan Liao, Sonia Yeh, Jorge Gil (2021). Feasibility of estimating travel demand using geolocations of social media data. In Transportation.

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Yuan Liao (2020). Understanding Human Mobility with Emerging Data Sources: Validation, spatiotemporal patterns, and transport modal disparity. In RESEARCH.chalmers.se.

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Yuan Liao, Jorge Gil, Rafael H. M. Pereira, Sonia Yeh, Vilhelm Verendel (2020). Disparities in travel times between car and transit: Spatiotemporal patterns in cities. In Scientific Reports.

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Yuan Liao, Sonia Yeh, Gustavo S. Jeuken (2019). From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data. In EPJ Data Science.

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Guofa Li, Shengbo Eben Li, Ruobing Zou, Yuan Liao, Bo Cheng (2019). Detection of road traffic participants using cost-effective arrayed ultrasonic sensors in low-speed traffic situations. In Mechanical Systems and Signal Processing.

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Minjuan Wang, Yuan Liao, Sus Lundgren Lyckvi, Fang Chen (2019). How Drivers Respond to Visual vs Auditory Information in Advisory Traffic Information Systems. In Behaviour & Information Technology.

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Yuan Liao, Sonia Yeh (2018). Predictability in Human Mobility based on Geographical-boundary-free and Long-time Social Media Data. In 2018 21st ITSC.

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Yuan Liao, Guofa Li, Shengbo Eben Li, Bo Cheng, Paul Green (2018). Understanding driver response patterns to mental workload increase in typical driving scenarios. In IEEE Access.

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Yuan Liao, Minjuan Wang, Lian Duan, Fang Chen (2018). Cross-regional driver–vehicle interaction design: an interview study on driving risk perceptions, decisions, and ADAS function preferences. In IET Intelligent Transport Systems.

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Yuan Liao, Lian Duan, Minjuan Wang, Fang Chen (2017). Cross-regional study on driver response behavior patterns and system acceptance with triggered forward collision warning. In 2017 IEEE IV.

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Yuan Liao, Guofa Li, Fang Chen (2017). Context-adaptive support information for truck drivers: An interview study on its contents priority. In 2017 IEEE IV.

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Manjiang Hu, Yuan Liao, Wenjun Wang, Guofa Li, Bo Cheng, Fang Chen (2017). Decision tree-based maneuver prediction for driver rear-end risk-avoidance behaviors in cut-in scenarios. In Journal of Advanced Transportation.

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Yuan Liao, Shengbo Eben Li, Guofa Li, Ying Wang, Bo Cheng, Fang Chen (2016). Detection of driver cognitive distraction: an SVM based real-time algorithm and its comparison study in typical driving scenarios. In 2016 IEEE IV.

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Yuan Liao, Shengbo Eben Li, Wenjun Wang, Ying Wang, Guofa Li, Bo Cheng (2016). Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway. In IEEE Transactions on ITS.

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Yuan Liao, Shengbo Eben Li, Wenjun Wang, Ying Wang, Guofa Li, Bo Cheng (2015). The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections. In 2015 IEEE IV.

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Guofa Li, Shengbo Eben Li, Yuan Liao, Wenjun Wang, Bo Cheng, Fang Chen (2015). Lane change maneuver recognition via vehicle state and driver operation signals—Results from naturalistic driving data. In 2015 IEEE IV.

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