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    A deep learning traffic flow prediction framework based on multi-channel graph convolution

    Zhao, Yuanmeng / Cao, Jie / Zhang, Hong et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Analyzing travel behavior in Hanoi using Support Vector Machine

    Truong, Thi My Thanh / Ly, Hai-Bang / Lee, Dongwoo et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine Learning

    An interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City

    Uddin, Majbah / Hwang, Ho-Ling / Hasnine, Md Sami | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Applications of machine learning methods in traffic crash severity modelling: current status and future directions

    Wen, Xiao / Xie, Yuanchang / Jiang, Liming et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Consumer learning behavior in choosing electric motorcycles

    Sung, Yen-Ching | Taylor & Francis Verlag | 2010
    Schlagwörter: Bayesian learning

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Schlagwörter: deep-learning

    Integrating built environment and parking policy for car commuting reduction: evidence from Beijing

    Wang, Xiaoquan / Yin, Chaoying / Zheng, Changjiang et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning model

    Modeling freight mode choice using machine learning classifiers: a comparative study using Commodity Flow Survey (CFS) data

    Uddin, Majbah / Anowar, Sabreena / Eluru, Naveen | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning