Yuan Liao
Orcid: 0000-0002-6982-1654Affiliations:
- Chalmers University of Technology, Gothenburg, Sweden
According to our database1,
Yuan Liao
authored at least 13 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
On the Relationship between Space-Time Accessibility and Leisure Activity Participation.
CoRR, October, 2025
Comput. Environ. Urban Syst., 2025
2024
The Uneven Impact of Mobility on the Segregation of Native and Foreign-born Individuals.
CoRR, 2024
2020
How drivers respond to visual vs. auditory information in advisory traffic information systems.
Behav. Inf. Technol., 2020
2019
From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data.
EPJ Data Sci., 2019
2018
Understanding Driver Response Patterns to Mental Workload Increase in Typical Driving Scenarios.
IEEE Access, 2018
Predictability in Human Mobility based on Geographical-boundary-free and Long-time Social Media Data.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Context-adaptive support information for truck drivers: An interview study on its contents priority.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Cross-regional study on driver response behavior patterns and system acceptance with triggered forward collision warning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
2016
Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway.
IEEE Trans. Intell. Transp. Syst., 2016
Detection of driver cognitive distraction: An SVM based real-time algorithm and its comparison study in typical driving scenarios.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
2015
The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015
Lane change maneuver recognition via vehicle state and driver operation signals - Results from naturalistic driving data.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015