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Refinado por: Nome da Publicação: Accident Analysis And Prevention remover assunto: Life Sciences & Biomedicine remover
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Accustomed or Regulated: Influencing factors of two-wheeler riders’ illegal Lane-Transgressing behavior when overtaking
Accustomed or Regulated: Influencing factors of two-wheeler riders’ illegal Lane-Transgressing behavior when overtaking
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Accustomed or Regulated: Influencing factors of two-wheeler riders’ illegal Lane-Transgressing behavior when overtaking

Qian, Qian ; Shi, Jing

Accident analysis and prevention, 2024-09, Vol.204, p.107648, Article 107648 [Periódico revisado por pares]

Elsevier Ltd

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2
Predicting driver’s takeover time based on individual characteristics, external environment, and situation awareness
Predicting driver’s takeover time based on individual characteristics, external environment, and situation awareness
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Predicting driver’s takeover time based on individual characteristics, external environment, and situation awareness

Chen, Haolin ; Zhao, Xiaohua ; Li, Haijian ; Gong, Jianguo ; Fu, Qiang

Accident analysis and prevention, 2024-08, Vol.203, p.107601, Article 107601 [Periódico revisado por pares]

England: Elsevier Ltd

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3
Supporting equitable and responsible highway safety improvement funding allocation strategies – Why AI prediction biases matter
Supporting equitable and responsible highway safety improvement funding allocation strategies – Why AI prediction biases matter
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Supporting equitable and responsible highway safety improvement funding allocation strategies – Why AI prediction biases matter

Wei, Zihang ; Zhou, Yang ; Li, Zihao ; Kulkarni, Mihir ; Zhang, Yunlong

Accident analysis and prevention, 2024-07, Vol.202, p.107585-107585, Article 107585 [Periódico revisado por pares]

England: Elsevier Ltd

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4
A method to enhance drivers' hazard perception at night based on “knowledge-attitude-practice” theory
A method to enhance drivers' hazard perception at night based on “knowledge-attitude-practice” theory
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A method to enhance drivers' hazard perception at night based on “knowledge-attitude-practice” theory

Zhou, Bin ; Feng, Zhongxiang ; Liu, Jing ; Huang, Zhipeng ; Gao, Ya

Accident analysis and prevention, 2024-06, Vol.200, p.107565-107565, Article 107565 [Periódico revisado por pares]

England: Elsevier Ltd

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5
Understanding risky driving behaviors among young novice drivers in Nigeria: A latent class analysis coupled with association rule mining approach
Understanding risky driving behaviors among young novice drivers in Nigeria: A latent class analysis coupled with association rule mining approach
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Understanding risky driving behaviors among young novice drivers in Nigeria: A latent class analysis coupled with association rule mining approach

Labbo, Muwaffaq Safiyanu ; Qu, Lin ; Xu, Chuan ; Bai, Wei ; Ayele Atumo, Eskindir ; Jiang, Xinguo

Accident analysis and prevention, 2024-06, Vol.200, p.107557-107557, Article 107557 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means
Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means
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Investigating pedestrian-vehicle crashes on interstate highways: Applying random parameter binary logit model with heterogeneity in means

Hossain, Ahmed ; Sun, Xiaoduan ; Das, Subasish ; Jafari, Monire ; Rahman, Ashifur

Accident analysis and prevention, 2024-05, Vol.199, p.107503-107503, Article 107503 [Periódico revisado por pares]

England: Elsevier Ltd

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7
Critical risk factors associated with fatal/severe crash outcomes in personal mobility device rider at-fault crashes: A two-step inter-cluster rule mining technique
Critical risk factors associated with fatal/severe crash outcomes in personal mobility device rider at-fault crashes: A two-step inter-cluster rule mining technique
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Critical risk factors associated with fatal/severe crash outcomes in personal mobility device rider at-fault crashes: A two-step inter-cluster rule mining technique

Tamakloe, Reuben ; Zhang, Kaihan ; Hossain, Ahmed ; Kim, Inhi ; Park, Shin Hyoung

Accident analysis and prevention, 2024-05, Vol.199, p.107527-107527, Article 107527 [Periódico revisado por pares]

England: Elsevier Ltd

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8
A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity
A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity
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A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity

Guo, Manze ; Janson, Bruce ; Peng, Yongxin

Accident analysis and prevention, 2024-04, Vol.198, p.107493-107493, Article 107493 [Periódico revisado por pares]

England: Elsevier Ltd

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9
Risk of motor vehicle collision associated with cannabis and alcohol use among patients presenting for emergency care
Risk of motor vehicle collision associated with cannabis and alcohol use among patients presenting for emergency care
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Risk of motor vehicle collision associated with cannabis and alcohol use among patients presenting for emergency care

Choo, Esther K. ; Trent, Stacy A. ; Nishijima, Daniel K. ; Eichelberger, Angela ; Kazmierczak, Steve ; Ye, Yu ; Brasel, Karen J. ; Audett, Ariane ; Cherpitel, Cheryl J

Accident analysis and prevention, 2024-04, Vol.198, p.107459-107459, Article 107459 [Periódico revisado por pares]

England: Elsevier Ltd

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10
Understanding the relationship between road users and the roadway infrastructure in Ghana
Understanding the relationship between road users and the roadway infrastructure in Ghana
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Understanding the relationship between road users and the roadway infrastructure in Ghana

Lawton, Brianna P. ; Hallmark, Shauna L. ; Basulto-Elias, Guillermo ; Obeng, Daniel Atuah ; Ackaah, Williams

Accident analysis and prevention, 2024-04, Vol.198, p.107475-107475, Article 107475 [Periódico revisado por pares]

England: Elsevier Ltd

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