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Refinado por: assunto: Accidents, Traffic - Statistics & Numerical Data remover assunto: Social Sciences, Interdisciplinary remover Humans remover
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1
Reforming the road freight transportation system using systems thinking: An investigation of Coronial inquests in Australia
Reforming the road freight transportation system using systems thinking: An investigation of Coronial inquests in Australia
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Reforming the road freight transportation system using systems thinking: An investigation of Coronial inquests in Australia

Newnam, Sharon ; Goode, Natassia ; Salmon, Paul ; Stevenson, Mark

Accident analysis and prevention, 2017-04, Vol.101, p.28-36 [Periódico revisado por pares]

England: Elsevier Ltd

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2
An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning
An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning
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An area-level model of vehicle-pedestrian injury collisions with implications for land use and transportation planning

Wier, Megan ; Weintraub, June ; Humphreys, Elizabeth H. ; Seto, Edmund ; Bhatia, Rajiv

Accident analysis and prevention, 2009, Vol.41 (1), p.137-145 [Periódico revisado por pares]

England: Elsevier Ltd

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3
Development of planning level transportation safety tools using Geographically Weighted Poisson Regression
Development of planning level transportation safety tools using Geographically Weighted Poisson Regression
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Development of planning level transportation safety tools using Geographically Weighted Poisson Regression

Hadayeghi, Alireza ; Shalaby, Amer S. ; Persaud, Bhagwant N.

Accident analysis and prevention, 2010-03, Vol.42 (2), p.676-688 [Periódico revisado por pares]

England: Elsevier Ltd

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4
Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis
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Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

Parsa, Amir Bahador ; Movahedi, Ali ; Taghipour, Homa ; Derrible, Sybil ; Mohammadian, Abolfazl (Kouros)

Accident analysis and prevention, 2020-03, Vol.136, p.105405-105405, Article 105405 [Periódico revisado por pares]

England: Elsevier Ltd

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5
Comparison of four statistical and machine learning methods for crash severity prediction
Comparison of four statistical and machine learning methods for crash severity prediction
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Comparison of four statistical and machine learning methods for crash severity prediction

Iranitalab, Amirfarrokh ; Khattak, Aemal

Accident analysis and prevention, 2017-11, Vol.108, p.27-36 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Relationship between road traffic features and accidents: An application of two-stage decision-making approach for transportation engineers
Relationship between road traffic features and accidents: An application of two-stage decision-making approach for transportation engineers
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Relationship between road traffic features and accidents: An application of two-stage decision-making approach for transportation engineers

Shah, Syyed Adnan Raheel ; Ahmad, Naveed ; Shen, Yongjun ; Kamal, Mumtaz Ahmed ; Basheer, Muhammad Aamir ; Brijs, Tom

Journal of safety research, 2019-06, Vol.69, p.201-215 [Periódico revisado por pares]

United States: Elsevier Ltd

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7
Crash severity effects of adaptive signal control technology: An empirical assessment with insights from Pennsylvania and Virginia
Crash severity effects of adaptive signal control technology: An empirical assessment with insights from Pennsylvania and Virginia
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Crash severity effects of adaptive signal control technology: An empirical assessment with insights from Pennsylvania and Virginia

Khattak, Zulqarnain H. ; Fontaine, Michael D. ; Smith, Brian L. ; Ma, Jiaqi

Accident analysis and prevention, 2019-03, Vol.124, p.151-162 [Periódico revisado por pares]

England: Elsevier Ltd

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8
A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data
A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data
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A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data

Bao, Jie ; Liu, Pan ; Ukkusuri, Satish V.

Accident analysis and prevention, 2019-01, Vol.122, p.239-254 [Periódico revisado por pares]

England: Elsevier Ltd

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9
Pedestrian-driver communication and decision strategies at marked crossings
Pedestrian-driver communication and decision strategies at marked crossings
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Pedestrian-driver communication and decision strategies at marked crossings

Sucha, Matus ; Dostal, Daniel ; Risser, Ralf

Accident analysis and prevention, 2017-05, Vol.102, p.41-50 [Periódico revisado por pares]

England: Elsevier Ltd

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10
A review of the effect of traffic and weather characteristics on road safety
A review of the effect of traffic and weather characteristics on road safety
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A review of the effect of traffic and weather characteristics on road safety

Theofilatos, Athanasios ; Yannis, George

Accident analysis and prevention, 2014-11, Vol.72, p.244-256 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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