Modeling driver's evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - Accident Analysis & Prevention, 2023 - Elsevier
Lane changes are complex driving behaviors and frequently involve safety–critical
situations. This study aims to develop a lane-change-related evasive behavior model, which …
被引用次数：17 相关文章

Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie… - Accident; analysis and …, 2023 - pubmed.ncbi.nlm.nih.gov
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
This study aims to develop a lane-change-related evasive behavior model, which can …
[PDF] researchgate.net

[PDF][PDF] Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guoa, K Xieb… - arXiv preprint arXiv …, 2022 - researchgate.net
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
This study aims to develop a lane-change-related evasive behavior model, which can …

Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - arXiv preprint arXiv:2209.15133, 2022 - arxiv.org
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
This study aims to develop a lane-change-related evasive behavior model, which can …

Modeling driver's evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning.

H Guo, K Xie, M Keyvan-Ekbatani - Accident Analysis and …, 2023 - psycnet.apa.org
Lane changes are complex driving behaviors and frequently involve safety–critical
situations. This study aims to develop a lane-change-related evasive behavior model, which …

Modeling driver's evasive behavior during safety–critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - Accident Analysis & Prevention, 2023 - trid.trb.org
Lane changes are complex driving behaviors and frequently involve safety–critical
situations. This study aims to develop a lane-change-related evasive behavior model, which …

Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
This study aims to develop a lane-change-related evasive behavior model, which can …

Modeling driver's evasive behavior during safety-critical lane changes: two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - Accident analysis and prevention, 2023 - safetylit.org
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
This study aims to develop a lane-change-related evasive behavior model, which can …

Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning.

H Guo, K Xie, M Keyvan-Ekbatani - Accident; Analysis and …, 2023 - europepmc.org
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
This study aims to develop a lane-change-related evasive behavior model, which can …

Modeling driver's evasive behavior during safety-critical lane changes: two-dimensional time-to-collision and deep reinforcement learning

H Guo, K Xie, M Keyvan-Ekbatani - Accident analysis and prevention, 2023 - safetylit.org
Lane changes are complex driving behaviors and frequently involve safety-critical situations.
This study aims to develop a lane-change-related evasive behavior model, which can …