Capturing behavioral heterogeneity for traffic flow: A scalable and personalized decomposition approach

Wissam Kontar et al.

Transportation Research Part B: Methodological2026https://doi.org/10.1016/j.trb.2026.103467article
AJG 4ABDC A*
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https://doi.org/https://doi.org/10.1016/j.trb.2026.103467

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@article{wissam2026,
  title        = {{Capturing behavioral heterogeneity for traffic flow: A scalable and personalized decomposition approach}},
  author       = {Wissam Kontar et al.},
  journal      = {Transportation Research Part B: Methodological},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.trb.2026.103467},
}

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Capturing behavioral heterogeneity for traffic flow: A scalable and personalized decomposition approach

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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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