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Modeling interactive car-following behaviors of automated and human-driven vehicles in safety-critical events: a multi-agent state-space attention-enhanced framework

Qingwen Pu et al.

Accident Analysis and Prevention2026https://doi.org/10.1016/j.aap.2026.108447article
AJG 3ABDC A*
Weight
0.50

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https://doi.org/https://doi.org/10.1016/j.aap.2026.108447

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@article{qingwen2026,
  title        = {{Modeling interactive car-following behaviors of automated and human-driven vehicles in safety-critical events: a multi-agent state-space attention-enhanced framework}},
  author       = {Qingwen Pu et al.},
  journal      = {Accident Analysis and Prevention},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.aap.2026.108447},
}

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Modeling interactive car-following behaviors of automated and human-driven vehicles in safety-critical events: a multi-agent state-space attention-enhanced framework

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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