1–20 von 5,485 Ergebnissen
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    User preferences regarding autonomous vehicles

    Haboucha, Chana J. / Ishaq, Robert / Shiftan, Yoram | Elsevier | 2017

    Shared autonomous vehicle services: A comprehensive review

    Narayanan, Santhanakrishnan / Chaniotakis, Emmanouil / Antoniou, Constantinos | Elsevier | 2019

    Deep learning for short-term traffic flow prediction

    Polson, Nicholas G. / Sokolov, Vadim O. | Elsevier | 2017

    Platoons of connected vehicles can double throughput in urban roads

    Lioris, Jennie / Pedarsani, Ramtin / Tascikaraoglu, Fatma Yildiz et al. | Elsevier | 2017

    Assessing public opinions of and interest in new vehicle technologies: An Austin perspective

    Bansal, Prateek / Kockelman, Kara M. / Singh, Amit | Elsevier | 2016

    An effective spatial-temporal attention based neural network for traffic flow prediction

    Do, Loan N.N. / Vu, Hai L. / Vo, Bao Q. et al. | Elsevier | 2019

    Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles

    Daziano, Ricardo A. / Sarrias, Mauricio / Leard, Benjamin | Elsevier | 2017

    A data-driven lane-changing model based on deep learning

    Xie, Dong-Fan / Fang, Zhe-Zhe / Jia, Bin et al. | Elsevier | 2019

    A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

    Bogaerts, Toon / Masegosa, Antonio D. / Angarita-Zapata, Juan S. et al. | Elsevier | 2020

    Factors influencing the choice of shared bicycles and shared electric bikes in Beijing

    Campbell, Andrew A. / Cherry, Christopher R. / Ryerson, Megan S. et al. | Elsevier | 2016

    The promises of big data and small data for travel behavior (aka human mobility) analysis

    Chen, Cynthia / Ma, Jingtao / Susilo, Yusak et al. | Elsevier | 2016

    Origin–destination trips by purpose and time of day inferred from mobile phone data

    Alexander, Lauren / Jiang, Shan / Murga, Mikel et al. | Elsevier | 2015