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keywords:(Decision Tree)

    Using data mining techniques to predict the severity of bicycle crashes

    Prati, Gabriele / Pietrantoni, Luca / Fraboni, Federico | Elsevier | 2017
    Schlagwörter: Decision tree

    The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms

    Katanalp, Burak Yiğit / Eren, Ezgi | Elsevier | 2020
    Schlagwörter: Decision tree

    Effects of built environment on bicycle wrong Way riding behavior: A data-driven approach

    Luan, Sen / Li, Meng / Li, Xin et al. | Elsevier | 2020
    Schlagwörter: Decision tree

    Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones

    Rahman, Md Sharikur / Abdel-Aty, Mohamed / Hasan, Samiul et al. | Elsevier | 2019
    Schlagwörter: Decision tree regression

    Effects of road infrastructure and traffic complexity in speed adaptation behaviour of distracted drivers

    Oviedo-Trespalacios, Oscar / Haque, Md. Mazharul / King, Mark et al. | Elsevier | 2017
    Schlagwörter: Decision tree

    Application of classification algorithms for analysis of road safety risk factor dependencies

    Kwon, Oh Hoon / Rhee, Wonjong / Yoon, Yoonjin | Elsevier | 2014
    Schlagwörter: Decision tree classifier

    Derivation of riding risk precursors using 100 delivery motor scooter naturalistic riding study

    Cho, Eunsol / Yun, Yujeong / Oh, Cheol et al. | Elsevier | 2023
    Schlagwörter: Decision tree

    Online risk estimation of critical and non-critical interactions between right-turning motorists and crossing cyclists by a decision tree

    Saul, Hagen / Junghans, Marek / Dotzauer, Mandy et al. | Elsevier | 2021
    Schlagwörter: Decision tree

    An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

    Ma, Zhengjing / Mei, Gang / Cuomo, Salvatore | Elsevier | 2021
    Schlagwörter: Decision Tree , Gradient Boosted Decision Trees

    Identification and classification of dynamic event tree scenarios via possibilistic clustering: Application to a steam generator tube rupture event

    Mercurio, D. / Podofillini, L. / Zio, E. et al. | Elsevier | 2008
    Schlagwörter: dynamic event tree , information, decision, and action in crew context , Dynamic event tree