Synonyme wurden verwendet für: learning
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81–100 von 108 Ergebnissen
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    Exploring built environment correlates of walking for different purposes: Evidence for substitution

    Yin, Chun / Cao, Jason / Sun, Bindong et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    DeepAD: An integrated decision-making framework for intelligent autonomous driving

    Shi, Yunyang / Liu, Jinghan / Liu, Chengqi et al. | Elsevier | 2024
    Schlagwörter: Deep reinforcement learning

    Built environment influences commute mode choice in a global south megacity context: Insights from explainable machine learning approach

    Ashik, F.R. / Sreezon, A.I.Z. / Rahman, M.H. et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark

    Kinra, Aseem / Beheshti-Kashi, Samaneh / Buch, Rasmus et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Expectations formation and forecasting of vehicle demand: an empirical study of the vehicle quota auctions in Singapore

    Chu, Sing-Fat / Koh, Winston T.H. / Tse, Yiu Kuen | Elsevier | 2003
    Schlagwörter: Learning

    A micro-simulation model system of departure time using a perception updating model under travel time uncertainty

    Ettema, Dick / Tamminga, Guus / Timmermans, Harry et al. | Elsevier | 2004
    Schlagwörter: Learning and adaptation

    Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic

    Tamakloe, Reuben / Zhang, Kaihan / Atandzi, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Urban network geofencing with dynamic speed limit policy via deep reinforcement learning

    Lu, Wenqi / Yi, Ziwei / Gidofalvi, Gyözö et al. | Elsevier | 2024
    Schlagwörter: Reinforcement learning technology

    How the built environment affects E-scooter sharing link flows: A machine learning approach

    Jin, Scarlett T. / Wang, Lei / Sui, Daniel | Elsevier | 2023
    Schlagwörter: Machine learning

    Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN

    Myhrmann, Marcus Skyum / Mabit, Stefan Eriksen | Elsevier | 2023
    Schlagwörter: Deep Learning

    Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens

    Fafoutellis, Panagiotis / Mantouka, Eleni G. / Vlahogianni, Eleni I. | Elsevier | 2022
    Schlagwörter: Interpretable machine learning

    Parking occupancy prediction under COVID-19 anti-pandemic policies: A model based on a policy-aware temporal convolutional network

    Niu, Zhipeng / Hu, Xiaowei / Fatmi, Mahmudur et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    A machine learning approach to analyzing spatiotemporal impacts of mobility restriction policies on infection rates

    Young Song, Annie / Lee, Seunghyeon / Wong, S.C. | Elsevier | 2023
    Schlagwörter: Machine learning approach

    Which road do I take? A learning-based model of route-choice behavior with real-time information

    Ben-Elia, Eran / Shiftan, Yoram | Elsevier | 2010
    Schlagwörter: Reinforced learning

    Hybrid approaches for container traffic forecasting in the context of anomalous events: The case of the Yangtze River Delta region in the COVID-19 pandemic

    Huang, Dong / Grifoll, Manel / Sanchez-Espigares, Jose A. et al. | Elsevier | 2022
    Schlagwörter: Machine learning model

    Interpretable data-driven demand modelling for on-demand transit services

    Alsaleh, Nael / Farooq, Bilal | Elsevier | 2021
    Schlagwörter: Machine learning