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Material Type: Artigo
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Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysisParsa, 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 LtdTexto completo disponível |
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Material Type: Artigo
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Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAPWen, Xiao ; Xie, Yuanchang ; Wu, Lingtao ; Jiang, LimingAccident analysis and prevention, 2021-09, Vol.159, p.106261-106261, Article 106261 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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A feature learning approach based on XGBoost for driving assessment and risk predictionShi, Xiupeng ; Wong, Yiik Diew ; Li, Michael Zhi-Feng ; Palanisamy, Chandrasekar ; Chai, ChenAccident analysis and prevention, 2019-08, Vol.129, p.170-179 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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A review of surrogate safety measures and their applications in connected and automated vehicles safety modelingWang, Chen ; Xie, Yuanchang ; Huang, Helai ; Liu, PanAccident analysis and prevention, 2021-07, Vol.157, p.106157-106157, Article 106157 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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The application of XGBoost and SHAP to examining the factors in freight truck-related crashes: An exploratory analysisYang, Chao ; Chen, Mingyang ; Yuan, QuanAccident analysis and prevention, 2021-08, Vol.158, p.106153-106153, Article 106153 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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Crash data augmentation using variational autoencoderIslam, Zubayer ; Abdel-Aty, Mohamed ; Cai, Qing ; Yuan, JinghuiAccident analysis and prevention, 2021-03, Vol.151, p.105950-105950, Article 105950 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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Real-time crash risk prediction on arterials based on LSTM-CNNLi, Pei ; Abdel-Aty, Mohamed ; Yuan, JinghuiAccident analysis and prevention, 2020-02, Vol.135, p.105371-105371, Article 105371 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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Half-century research developments in maritime accidents: Future directionsLUO, MEIFENG ; SHIN, SUNG-HOAccident analysis and prevention, 2019-02, Vol.123, p.448-460 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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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 recordsRolison, Jonathan J. ; Regev, Shirley ; Moutari, Salissou ; Feeney, AidanAccident analysis and prevention, 2018-06, Vol.115, p.11-24 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |
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Material Type: Artigo
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Traffic accident detection and condition analysis based on social networking dataAli, Farman ; Ali, Amjad ; Imran, Muhammad ; Naqvi, Rizwan Ali ; Siddiqi, Muhammad Hameed ; Kwak, Kyung-SupAccident analysis and prevention, 2021-03, Vol.151, p.105973-105973, Article 105973 [Periódico revisado por pares]England: Elsevier LtdTexto completo disponível |