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Refinado por: Base de dados/Biblioteca: ScienceDirect (Elsevier) remover assunto: Transportation remover
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1
Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP
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Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

Wen, Xiao ; Xie, Yuanchang ; Wu, Lingtao ; Jiang, Liming

Accident analysis and prevention, 2021-09, Vol.159, p.106261-106261, Article 106261 [Periódico revisado por pares]

Elsevier Ltd

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2
A feature learning approach based on XGBoost for driving assessment and risk prediction
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A feature learning approach based on XGBoost for driving assessment and risk prediction

Shi, Xiupeng ; Wong, Yiik Diew ; Li, Michael Zhi-Feng ; Palanisamy, Chandrasekar ; Chai, Chen

Accident analysis and prevention, 2019-08, Vol.129, p.170-179 [Periódico revisado por pares]

England: Elsevier Ltd

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3
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
Crash data augmentation using variational autoencoder
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Crash data augmentation using variational autoencoder

Islam, Zubayer ; Abdel-Aty, Mohamed ; Cai, Qing ; Yuan, Jinghui

Accident analysis and prevention, 2021-03, Vol.151, p.105950-105950, Article 105950 [Periódico revisado por pares]

England: Elsevier Ltd

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5
A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling
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A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling

Wang, Chen ; Xie, Yuanchang ; Huang, Helai ; Liu, Pan

Accident analysis and prevention, 2021-07, Vol.157, p.106157-106157, Article 106157 [Periódico revisado por pares]

England: Elsevier Ltd

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6
Real-time crash risk prediction on arterials based on LSTM-CNN
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Real-time crash risk prediction on arterials based on LSTM-CNN

Li, Pei ; Abdel-Aty, Mohamed ; Yuan, Jinghui

Accident analysis and prevention, 2020-02, Vol.135, p.105371-105371, Article 105371 [Periódico revisado por pares]

England: Elsevier Ltd

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7
What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records
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What are the factors that contribute to road accidents? An assessment of law enforcement views, ordinary drivers’ opinions, and road accident records

Rolison, Jonathan J. ; Regev, Shirley ; Moutari, Salissou ; Feeney, Aidan

Accident analysis and prevention, 2018-06, Vol.115, p.11-24 [Periódico revisado por pares]

England: Elsevier Ltd

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8
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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9
Half-century research developments in maritime accidents: Future directions
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Half-century research developments in maritime accidents: Future directions

LUO, MEIFENG ; SHIN, SUNG-HO

Accident analysis and prevention, 2019-02, Vol.123, p.448-460 [Periódico revisado por pares]

England: Elsevier Ltd

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10
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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