Interactive scenario generation based on Generative Adversarial Imitation Learning integrated with trajectory matching module (TM-GAIL).
- DOI
- 10.1016/j.aap.2026.108842
- Published
- 2026 Oct 26
- Container
- Accident; analysis and prevention
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.aap.2026.108842,
title = {Interactive scenario generation based on Generative Adversarial Imitation Learning integrated with trajectory matching module (TM-GAIL).},
author = {Guo K and Kong D and Wang C and Cui X},
year = {2026},
journal = {Accident; analysis and prevention},
doi = {10.1016/j.aap.2026.108842},
url = {https://doi.org/10.1016/j.aap.2026.108842}
}RIS
TY - JOUR TI - Interactive scenario generation based on Generative Adversarial Imitation Learning integrated with trajectory matching module (TM-GAIL). AU - Guo K AU - Kong D AU - Wang C AU - Cui X PY - 2026 JO - Accident; analysis and prevention DO - 10.1016/j.aap.2026.108842 UR - https://doi.org/10.1016/j.aap.2026.108842 ER -
APA
K, G., D, K., C, W., & X, C. (2026). Interactive scenario generation based on Generative Adversarial Imitation Learning integrated with trajectory matching module (TM-GAIL).. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2026.108842
Source records
- pubmed · retrieved 2026-11-10T12:22:24.665Z