Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model
Author:
Affiliation:
1. Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing, China
2. State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Didi Joint Research Center for Future Mobility, Tsinghua University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6979/10582787/10492504.pdf?arnumber=10492504
Reference50 articles.
1. A Data-Driven Approach for Driving Safety Risk Prediction Using Driver Behavior and Roadway Information Data
2. The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle
3. Which parts of the road guide obstacle avoidance? Quantifying the driver's risk field
4. What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective
5. Acceptance of Self-driving Cars
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