101–120 von 744 Ergebnissen
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    How does the suspension of ride-sourcing affect the transportation system and environment?

    Yang, Hongtai / Zhai, Guocong / Yang, Linchuan et al. | Elsevier | 2021
    Schlagwörter: Monte-Carlo Markov Chain simulations

    Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles

    Khattak, Asad J. / Wali, Behram | Elsevier | 2017
    Schlagwörter: Markov-switching dynamic regressions

      Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles

      Khattak, Asad J | Online Contents | 2017
      Schlagwörter: Markov-switching dynamic regressions

    How income satisfaction impacts driver engagement dynamics in ride-hailing services

    Chen, Xian / Bai, Shuotian / Wei, Yongqin et al. | Elsevier | 2023
    Schlagwörter: Hidden Markov models

    Adaptive signal control for bus service reliability with connected vehicle technology via reinforcement learning

    Chow, Andy H.F. / Su, Z.C. / Liang, E.M. et al. | Elsevier | 2021
    Schlagwörter: Markov decision process

    Driver intention inference with vehicle onboard sensors

    Berndt, Holger / Dietmayer, Klaus | Tema Archiv | 2009
    Schlagwörter: verborgenes-Markov-Modell

    Optimal switching policy between driving entities in semi-autonomous vehicles

    van Wyk, Franco / Khojandi, Anahita / Masoud, Neda | Elsevier | 2020
    Schlagwörter: Markov decision process

    Structural reliability assessment based on low-discrepancy adaptive importance sampling and artificial neural network

    Zhao, Hailong / Yue, Zhufeng / Liu, Yongshou et al. | SAGE Publications | 2017
    Schlagwörter: Markov chain

    Daily activity pattern recognition by using support vector machines with multiple classes

    Allahviranloo, Mahdieh / Recker, Will | Elsevier | 2013
    Schlagwörter: Hidden Markov Models (HMMs)

    A statistical deterioration forecasting method using hidden Markov model for infrastructure management

    Kobayashi, Kiyoshi / Kaito, Kiyoyuki / Lethanh, Nam | Elsevier | 2011
    Schlagwörter: Hidden Markov model

    Mining automatically extracted vehicle trajectory data for proactive safety analytics

    Xie, Kun / Ozbay, Kaan / Yang, Hong et al. | Elsevier | 2019
    Schlagwörter: Hidden Markov model

    Relocation incentives for ride-sourcing drivers with path-oriented revenue forecasting based on a Markov Chain model

    Beojone, Caio Vitor / Geroliminis, Nikolas | Elsevier | 2023
    Schlagwörter: Markov Chain

    Fatigue failure study of the lower suspension vehicle arm using a multiaxial criterion of the strain energy density

    Saoudi, Abdelhamid / Bouazara, Mohamed / Marceau, Daniel | Tema Archiv | 2011
    Schlagwörter: Markov-Modell

    Gravity modeling in aerospace applications

    Siouris, George M. | Elsevier | 2009
    Schlagwörter: Markov process

    A Car-Following Network Model: An Analysis of Trip Delay

    Ossenbruggen, Paul J. | ASCE | 2022
    Schlagwörter: Markov chain

    Adaptive scheduling of mixed bus services with flexible fleet size assignment under demand uncertainty

    Chow, Andy H.F. / Li, Guang-yu / Ying, Cheng-shuo | Elsevier | 2023
    Schlagwörter: Markov decision process

    Data-driven stochastic model for train delay analysis and prediction

    Şahin, İsmail | Taylor & Francis Verlag | 2023
    Schlagwörter: homogeneous Markov chains

    A framework for efficient dynamic routing under stochastically varying conditions

    Levering, Nikki / Boon, Marko / Mandjes, Michel et al. | Elsevier | 2022
    Schlagwörter: Semi-Markov decision processes

    Comparing prediction methods for maritime accidents

    Zhao, Jia-ni / Lv, Jing | Taylor & Francis Verlag | 2016
    Schlagwörter: Markov model

      Comparing prediction methods for maritime accidents

      Zhao, Jia-ni | Online Contents | 2016
      Schlagwörter: Markov analysis , Markov model

    A Stochastic Dilemma Zone Protection Algorithm Based on the Vehicles’ Trajectories

    Li, Pengfei / Abbas, Montasir / Pasupathy, Raghu | Taylor & Francis Verlag | 2015
    Schlagwörter: Markov Process