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From theory to deep learning

Understanding the impact of geographic context factors on traffic violations

Dados Bibliográficos

ID7150600
AutoresHao Yang (0000-0003-2138-7307, University of Georgia), Xiaobai A Yao (0000-0003-2719-2017, University of Georgia, autor correspondente), Farnoosh Roozkhosh (0000-0003-2523-149X, University of Georgia), Ruowei Liu (0000-0001-9495-366X, University of Georgia), Gengchen Mai (0000-0002-7818-7309, The University of Texas at Austin)
Ano2025
Volume119
Páginas102268
Data de publicação2025-07-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoComputers Environment and Urban Systems (JOURNAL)
Identificadores do periódicoISSN: 0198-9715 • E-ISSN: 1873-7587
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.compenvurbsys.2025.102268
OpenAlexW4408015779
IdiomaEN
Referências citadas42

Archaeology · Cartography · Data science · Geography · Anomaly Detection Techniques and Applications · Computer Science · Traffic and Road Safety · Traffic Prediction and Management Techniques

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