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Refinado por: Base de dados/Biblioteca: EZB Electronic Journals Library remover assunto: Traffic Accidents & Safety remover Roads & Highways remover Fatalities remover
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1
The burden of road traffic crashes, injuries and deaths in Africa: a systematic review and meta-analysis
The burden of road traffic crashes, injuries and deaths in Africa: a systematic review and meta-analysis
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The burden of road traffic crashes, injuries and deaths in Africa: a systematic review and meta-analysis

Adeloye, Davies ; Thompson, Jacqueline Y ; Akanbi, Moses A ; Azuh, Dominic ; Samuel, Victoria ; Omoregbe, Nicholas ; Ayo, Charles K

Bulletin of the World Health Organization, 2016-07, Vol.94 (7), p.510-521A [Periódico revisado por pares]

Switzerland: World Health Organization

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2
Traffic Accident Risk Assessment Framework for Qassim, Saudi Arabia: Evaluating the Impact of Speed Cameras
Traffic Accident Risk Assessment Framework for Qassim, Saudi Arabia: Evaluating the Impact of Speed Cameras
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Traffic Accident Risk Assessment Framework for Qassim, Saudi Arabia: Evaluating the Impact of Speed Cameras

Almoshaogeh, Meshal ; Abdulrehman, Radfan ; Haider, Husnain ; Alharbi, Fawaz ; Jamal, Arshad ; Alarifi, Saif ; Shafiquzzaman, Md

Applied sciences, 2021-08, Vol.11 (15), p.6682 [Periódico revisado por pares]

Basel: MDPI AG

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3
Risk factors for extremely serious road accidents: Results from national Road Accident Statistical Annual Report of China
Risk factors for extremely serious road accidents: Results from national Road Accident Statistical Annual Report of China
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Risk factors for extremely serious road accidents: Results from national Road Accident Statistical Annual Report of China

Liu, Guodong ; Chen, Siyu ; Zeng, Ziqian ; Cui, Huijie ; Fang, Yanfei ; Gu, Dongqing ; Yin, Zhiyong ; Wang, Zhengguo Veauthier, Christian

PloS one, 2018-08, Vol.13 (8), p.e0201587-e0201587 [Periódico revisado por pares]

United States: Public Library of Science

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4
Pay or prevent? Human safety, costs to society and legal perspectives on animal-vehicle collisions in São Paulo state, Brazil
Pay or prevent? Human safety, costs to society and legal perspectives on animal-vehicle collisions in São Paulo state, Brazil
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Pay or prevent? Human safety, costs to society and legal perspectives on animal-vehicle collisions in São Paulo state, Brazil

Abra, Fernanda Delborgo ; Granziera, Beatriz Machado ; Huijser, Marcel Pieter ; Ferraz, Katia Maria Paschoaletto Micchi de Barros ; Haddad, Camilla Mansur ; Paolino, Roberta Montanheiro Useche, Sergio A.

PloS one, 2019-04, Vol.14 (4), p.e0215152-e0215152 [Periódico revisado por pares]

United States: Public Library of Science

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5
Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations
Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations
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Predicting and Analyzing Road Traffic Injury Severity Using Boosting-Based Ensemble Learning Models with SHAPley Additive exPlanations

Dong, Sheng ; Khattak, Afaq ; Ullah, Irfan ; Zhou, Jibiao ; Hussain, Arshad

International journal of environmental research and public health, 2022-03, Vol.19 (5), p.2925 [Periódico revisado por pares]

Switzerland: MDPI AG

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6
The Impact of Aggressive Driving Behavior on Driver-Injury Severity at Highway-Rail Grade Crossings Accidents
The Impact of Aggressive Driving Behavior on Driver-Injury Severity at Highway-Rail Grade Crossings Accidents
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The Impact of Aggressive Driving Behavior on Driver-Injury Severity at Highway-Rail Grade Crossings Accidents

Ma, Changxi ; Hao, Wei ; Xiang, Wang ; Yan, Wei Liu, Zhiyuan ; Zhiyuan Liu

Journal of advanced transportation, 2018-01, Vol.2018, p.1-10 [Periódico revisado por pares]

London: Hindawi

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7
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents
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Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents

Zhang, Shuguang ; Khattak, Afaq ; Matara, Caroline Mongina ; Hussain, Arshad ; Farooq, Asim Xu, Xuecai

PloS one, 2022-02, Vol.17 (2), p.e0262941 [Periódico revisado por pares]

United States: Public Library of Science

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8
A novel rare event approach to measure the randomness and concentration of road accidents
A novel rare event approach to measure the randomness and concentration of road accidents
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A novel rare event approach to measure the randomness and concentration of road accidents

Prieto Curiel, Rafael ; González Ramírez, Humberto ; Bishop, Steven Richard Deng, Yong

PloS one, 2018-08, Vol.13 (8), p.e0201890-e0201890 [Periódico revisado por pares]

United States: Public Library of Science

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9
Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity
Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity
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Assessment of the Influence of Technology-Based Distracted Driving on Drivers’ Infractions and Their Subsequent Impact on Traffic Accidents Severity

García-Herrero, Susana ; Febres, Juan Diego ; Boulagouas, Wafa ; Gutiérrez, José Manuel ; Mariscal Saldaña, Miguel Ángel

International journal of environmental research and public health, 2021-07, Vol.18 (13), p.7155 [Periódico revisado por pares]

Basel: MDPI AG

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10
Built Environment Features and Pedestrian Accidents: An Italian Retrospective Study
Built Environment Features and Pedestrian Accidents: An Italian Retrospective Study
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Built Environment Features and Pedestrian Accidents: An Italian Retrospective Study

Congiu, Tanja ; Sotgiu, Giovanni ; Castiglia, Paolo ; Azara, Antonio ; Piana, Andrea ; Saderi, Laura ; Dettori, Marco

Sustainability, 2019-02, Vol.11 (4), p.1064 [Periódico revisado por pares]

Basel: MDPI AG

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