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1–20 von 66 Ergebnissen
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    What is the market potential for on-demand services as a train station access mode?

    Freier Zugriff
    Geržinič, Nejc / Cats, Oded / van Oort, Niels et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: latent class

    Full-scale ship-structure ice impact laboratory experiments: experimental apparatus and initial results

    Lande Andrade, Sthéfano / Elruby, Ahmed Y. / Hipditch, Evan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: low ice class , non-ice class

    Optimization of train timetables in high-speed railway corridors considering passenger departure time and seat-class preferences

    Huang, Zhipeng / Zhang, Yuzhao / Zhang, Zhenjiang et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: seat class

    Revealing the true navigability of the Northern Sea Route from ice conditions and weather observations

    Sibul, Gleb / Yang, Peihao / Muravev, Dmitri et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: ice class

    Willingness of Hurricane Irma evacuees to share resources: a multi-modeling approach

    Wong, Stephen D. / Yu, Mengqiao / Kuncheria, Anu et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: multi-choice latent class choice model

    Accounting for preference heterogeneity for high occupancy toll lanes in a Canadian city: a latent class approach

    Weiss, Adam / Ansari Esfeh, Mohammad / Esmaeilnejad, Seyedshahab et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: latent class

    Behavior analysis of carsharing users based on deep belief network and improved two-stage clustering

    Sai, Qiuyue / Bi, Jun / Guan, Wei et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: user category prediction

    On the modelling of speed–concentration curves for multi-class traffic lacking lane discipline using area occupancy

    Mohan, Ranju | Taylor & Francis Verlag | 2022
    Schlagwörter: multi-class traffic

    A multi-class first-order traffic flow model to explain the disordered behaviour of vehicles

    Sreekumar, M. / Joshi, S. M. / Mathew, Tom V. et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: multi-class models

    Analyse vehicle–pedestrian crash severity at intersection with data mining techniques

    Zhu, Siying | Taylor & Francis Verlag | 2022
    Schlagwörter: class imbalance issue

    Prediction of fatal traffic accidents using one-class SVMs: a case study in Eskisehir, Turkey

    Erzurum Cicek, Zeynep Idil / Kamisli Ozturk, Zehra | Taylor & Francis Verlag | 2022
    Schlagwörter: one-class classification

    Parking design and pricing for regular and autonomous vehicles: a morning commute problem

    Nourinejad, Mehdi / Amirgholy, Mahyar | Taylor & Francis Verlag | 2022
    Schlagwörter: bi-class demand

    An Artificial Bee Colony optimization-based approach for sizing and composition of Arctic offshore drilling support fleets considering cost-efficiency

    Freier Zugriff
    Kondratenko, A. A. / Bergström, M. / Suominen, M. et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: ice class ships

    A macroscopic flow model for mixed bicycle–car traffic

    Freier Zugriff
    Wierbos, M. J. / Knoop, V. L. / Hänseler, F. S. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: class-specific speed function

    Latent class analysis of residential and work location choices

    Paleti, Rajesh / Mishra, Sabyasachee / Haque, Khademul et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: latent class models

    Intrapersonal heterogeneity in car-sharing decision-making processes by activity-travel contexts: A context-dependent latent class random utility – random regret model

    Charoniti, Eleni / Kim, Jinhee / Rasouli, Soora et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: context-dependent latent class choice

    A multi-class, multi-criteria bicycle traffic assignment model

    Ryu, Seungkyu / Chen, Anthony / Su, Jacqueline et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: multi-class

    Schedule delays of major projects: what should we do about it?

    Park, Jung Eun | Taylor & Francis Verlag | 2021
    Schlagwörter: reference class forecasting