Synonyme wurden verwendet für: Machine learning
Suche ohne Synonyme: keywords:("Machine learning")

1–20 von 51 Ergebnissen
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    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Fake it till you make it: Synthetic data for emerging carsharing programs

    Albrecht, Tobias / Keller, Robert / Rebholz, Dominik et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Individual and synergistic associations among transit allowance, land use, and transit commuting

    Sun, Shan / Yang, Shuo / Guo, Liang et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Built environment’s nonlinear effects on mode shares around BRT and rail stations

    Sajjad Abdollahpour, Seyed / Buehler, Ralph / Le, Huyen T.K. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Joint associations of environmental and sociodemographic attributes with active and sedentary travel

    Chandrabose, Manoj / Rahim Mohammad Forkan, Abdur / Abe, Takumi et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Exploring user satisfaction and improvement priorities in electric vehicle segments

    Zhao, Danting / Gao, Jie / Liu, Nieyangzi | Elsevier | 2023
    Schlagwörter: Machine learning

    Analysis and estimation of energy consumption of electric buses using real-world data

    Zhang, Zhaosheng / Ye, Baolin / Wang, Shuai et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents

    Liao, Xishun / Wu, Guoyuan / Yang, Lan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Traffic volume and road network structure: Revealing transportation-related factors on PM2.5 concentrations

    Yu, Chengcheng / Deng, Yongqi / Qin, Zhengtao et al. | Elsevier | 2023
    Schlagwörter: Bayesian machine learning

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

    Er Raqabi, El Mehdi / Li, Wenkai | Elsevier | 2023
    Schlagwörter: Machine Learning

    Spatiotemporal analysis of built environment restrained traffic carbon emissions and policy implications

    Wu, Jishi / Jia, Peng / Feng, Tao et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Assessing driving behavior influence on fuel efficiency using machine-learning and drive-cycle simulations

    Mohammadnazar, Amin / Khattak, Zulqarnain H. / Khattak, Asad J. | Elsevier | 2023
    Schlagwörter: Machine learning

    Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership

    Peng, Bozhezi / Zhang, Yi / Li, Chaoyang et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Examining active travel behavior through explainable machine learning: Insights from Beijing, China

    Yin, Ganmin / Huang, Zhou / Fu, Chen et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning

    Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

    Kabir, Rezwana / Remias, Stephen M. / Waddell, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Machine Learning

    Nonlinear effects of the built environment on metro-integrated ridesourcing usage

    Jin, Tanhua / Cheng, Long / Zhang, Xucai et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Schlagwörter: Explainable machine learning

    Illustrating nonlinear effects of built environment attributes on housing renters’ transit commuting

    Ding, Chuan / Liu, Tiantian / Cao, Xinyu et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Gender differences in active travel among older adults: Non-linear built environment insights

    Yang, Yongjiang / Sasaki, Kuniaki / Cheng, Long et al. | Elsevier | 2022
    Schlagwörter: Machine learning