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Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations
Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations
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Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations

Favarò, Francesca ; Eurich, Sky ; Nader, Nazanin

Accident analysis and prevention, 2018-01, Vol.110, p.136-148 [Periódico revisado por pares]

England: Elsevier Ltd

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Health Care While Homeless: Barriers, Facilitators, and the Lived Experiences of Homeless Individuals Accessing Health Care in a Canadian Regional Municipality
Health Care While Homeless: Barriers, Facilitators, and the Lived Experiences of Homeless Individuals Accessing Health Care in a Canadian Regional Municipality
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Health Care While Homeless: Barriers, Facilitators, and the Lived Experiences of Homeless Individuals Accessing Health Care in a Canadian Regional Municipality

Ramsay, Natalie ; Hossain, Rahat ; Moore, Mo ; Milo, Michael ; Brown, Allison

Qualitative health research, 2019-11, Vol.29 (13), p.1839-1849 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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3
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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4
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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5
Evaluating the safety impact of connected and autonomous vehicles on motorways
Evaluating the safety impact of connected and autonomous vehicles on motorways
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Evaluating the safety impact of connected and autonomous vehicles on motorways

Papadoulis, Alkis ; Quddus, Mohammed ; Imprialou, Marianna

Accident analysis and prevention, 2019-03, Vol.124, p.12-22 [Periódico revisado por pares]

England: Elsevier Ltd

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The usefulness of artificial intelligence for safety assessment of different transport modes
The usefulness of artificial intelligence for safety assessment of different transport modes
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The usefulness of artificial intelligence for safety assessment of different transport modes

Tselentis, Dimitrios I. ; Papadimitriou, Eleonora ; van Gelder, Pieter

Accident analysis and prevention, 2023-06, Vol.186, p.107034-107034, Article 107034 [Periódico revisado por pares]

England: Elsevier Ltd

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7
Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems
Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems
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Assessment of the safety benefits of vehicles’ advanced driver assistance, connectivity and low level automation systems

Yue, Lishengsa ; Abdel-Aty, Mohamed ; Wu, Yina ; Wang, Ling

Accident analysis and prevention, 2018-08, Vol.117, p.55-64 [Periódico revisado por pares]

England: Elsevier Ltd

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8
How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis
How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis
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How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis

Wang, Ling ; Zhong, Hao ; Ma, Wanjing ; Abdel-Aty, Mohamed ; Park, Juneyoung

Accident analysis and prevention, 2020-03, Vol.136, p.105299-105299, Article 105299 [Periódico revisado por pares]

England: Elsevier Ltd

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9
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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10
A review of spatial approaches in road safety
A review of spatial approaches in road safety
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A review of spatial approaches in road safety

Ziakopoulos, Apostolos ; Yannis, George

Accident analysis and prevention, 2020-02, Vol.135, p.105323-105323, Article 105323 [Periódico revisado por pares]

England: Elsevier Ltd

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