When feeling safe becomes risky: A VR-EEG-computer vision framework for analyzing cyclist safety in dynamic traffic environment
- DOI
- 10.1016/j.aap.2026.108418
- Published
- 2026-05
- Container
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2026.108418,
title = {When feeling safe becomes risky: A VR-EEG-computer vision framework for analyzing cyclist safety in dynamic traffic environment},
author = {Lurong Xu and Tengfeng Lin and Steve O’Hern and Alexa Delbosc and Zhuo Chen and Inhi Kim and Shuli Luo},
year = {2026},
journal = {Accident Analysis \& Prevention},
doi = {10.1016/j.aap.2026.108418},
url = {https://doi.org/10.1016/j.aap.2026.108418}
}RIS
TY - JOUR TI - When feeling safe becomes risky: A VR-EEG-computer vision framework for analyzing cyclist safety in dynamic traffic environment AU - Lurong Xu AU - Tengfeng Lin AU - Steve O’Hern AU - Alexa Delbosc AU - Zhuo Chen AU - Inhi Kim AU - Shuli Luo PY - 2026 JO - Accident Analysis & Prevention DO - 10.1016/j.aap.2026.108418 UR - https://doi.org/10.1016/j.aap.2026.108418 ER -
APA
Xu, L., Lin, T., O’Hern, S., Delbosc, A., Chen, Z., Kim, I., & Luo, S. (2026). When feeling safe becomes risky: A VR-EEG-computer vision framework for analyzing cyclist safety in dynamic traffic environment. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2026.108418
Source records
- crossref · retrieved 2026-09-25T17:18:54.887Z