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Original Articles

Machine learning in road accident research: decision trees describing road accidents during cross-flow turns

Pages 1060-1079 | Published online: 10 Nov 2010

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DAVID D. CLARKE, PATRICK J. WARD & JEAN JONES. (1999) Processes and countermeasures in overtaking road accidents. Ergonomics 42:6, pages 846-867.
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Ting Li, Yunong Yang, Yonghui Wang, Chao Chen & Jinbao Yao. (2016) Traffic fatalities prediction based on support vector machine. Archives of Transport 39:3, pages 21-30.
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Qiao DongChunjiao DongBaoshan Huang. (2015) Statistical Analyses of Field Serviceability of Throw-and-Roll Pothole Patches. Journal of Transportation Engineering 141:9.
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Jinn-Tsai Wong, Yi-Shih Chung & Shih-Hsuan Huang. (2010) Determinants behind young motorcyclists’ risky riding behavior. Accident Analysis & Prevention 42:1, pages 275-281.
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Jinn-Tsai WongYi-Shih Chung. (2008) Comparison of Methodology Approach to Identify Causal Factors of Accident Severity. Transportation Research Record: Journal of the Transportation Research Board 2083:1, pages 190-198.
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Karolien Geurts, Isabelle Thomas & Geert Wets. (2005) Understanding spatial concentrations of road accidents using frequent item sets. Accident Analysis & Prevention 37:4, pages 787-799.
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David D. Clarke, Richard Forsyth & Richard Wright. (2005) A statistical profile of road accidents during cross-flow turns. Accident Analysis & Prevention 37:4, pages 721-730.
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Brian Carnahan, Gérard Meyer & Lois-Ann Kuntz. (2016) Comparing Statistical and Machine Learning Classifiers: Alternatives for Predictive Modeling in Human Factors Research. Human Factors: The Journal of the Human Factors and Ergonomics Society 45:3, pages 408-423.
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David D Clarke, Richard Forsyth & Richard Wright. (1999) Junction road accidents during cross-flow turns: a sequence analysis of police case files. Accident Analysis & Prevention 31:1-2, pages 31-43.
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