Learning enhanced game theoretic decision-making for interaction-aware autonomous driving in urban traffic scenarios
- DOI
- 10.1016/j.aap.2026.108843
- Published
- 2027-02
- Container
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2026.108843,
title = {Learning enhanced game theoretic decision-making for interaction-aware autonomous driving in urban traffic scenarios},
author = {Shen Li and Haojie Gui and Kai Yang and Jianying Yang and Zhijun Chen and Anyou Wang and Xiaolin Tang},
year = {2027},
journal = {Accident Analysis \& Prevention},
doi = {10.1016/j.aap.2026.108843},
url = {https://doi.org/10.1016/j.aap.2026.108843}
}RIS
TY - JOUR TI - Learning enhanced game theoretic decision-making for interaction-aware autonomous driving in urban traffic scenarios AU - Shen Li AU - Haojie Gui AU - Kai Yang AU - Jianying Yang AU - Zhijun Chen AU - Anyou Wang AU - Xiaolin Tang PY - 2027 JO - Accident Analysis & Prevention DO - 10.1016/j.aap.2026.108843 UR - https://doi.org/10.1016/j.aap.2026.108843 ER -
APA
Li, S., Gui, H., Yang, K., Yang, J., Chen, Z., Wang, A., & Tang, X. (2027). Learning enhanced game theoretic decision-making for interaction-aware autonomous driving in urban traffic scenarios. Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2026.108843
Source records
- crossref · retrieved 2026-11-07T03:34:28.686Z