1–20 von 150 Ergebnissen
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    3D path planning and real-time collision resolution of multirotor drone operations in complex urban low-altitude airspace

    Zhang, Na / Zhang, Mingcheng / Low, Kin Huat | Elsevier | 2021
    Schlagwörter: Markov decision process

    A batch reinforcement learning approach to vacant taxi routing

    Yu, Xinlian / Gao, Song | Elsevier | 2022
    Schlagwörter: Markov decision process

    A Bayesian approach to traffic estimation in stochastic user equilibrium networks

    Wei, Chong / Asakura, Yasuo | Elsevier | 2013
    Schlagwörter: Markov chain Monte Carlo

    A Bayesian semi-parametric model to estimate relationships between crash counts and roadway characteristics

    Shively, Thomas S. / Kockelman, Kara / Damien, Paul | Elsevier | 2009
    Schlagwörter: Markov chain Monte Carlo

    Accident prediction models with random corridor parameters

    El-Basyouny, Karim / Sayed, Tarek | Elsevier | 2009
    Schlagwörter: Markov Chain Monte Carlo

    Accounting for traffic disturbance in road infrastructure management: Optimal maintenance and rehabilitation planning for the society

    Sasai, Kotaro / Chouinard, Luc E. / Power, Gabriel J. et al. | Elsevier | 2024
    Schlagwörter: Markov decision process

    A competing Markov model for cracking prediction on civil structures

    Kobayashi, K. / Kaito, K. / Lethanh, N. | Elsevier | 2014
    Schlagwörter: Markov Chain Monte Carlo , Markov chain model

    Activity-based TOD typology for seoul transit station areas using smart-card data

    Shin, Yonggeun / Kim, Dong-Kyu / Kim, Eui-Jin | Elsevier | 2022
    Schlagwörter: Hidden Markov Model (HMM)

    Activity imputation for trip-chains elicited from smart-card data using a continuous hidden Markov model

    Han, Gain / Sohn, Keemin | Elsevier | 2015
    Schlagwörter: Continuous hidden Markov model

    A cumulative risk and sustainability index for pavements

    Blaauw, Sheldon A. / Maina, James W. / Grobler, Louis J. et al. | Elsevier | 2022
    Schlagwörter: Markov chain Monte Carlo

    Adaptive flow control of low-Reynolds number aerodynamics using dielectric barrier discharge actuator

    Cho, Young-Chang / Shyy, Wei | Elsevier | 2011
    Schlagwörter: Markov chain

    Adaptive network traffic control with an integrated model-based and data-driven approach and a decentralised solution method

    Su, Z.C. / Chow, Andy H.F. / Zhong, R.X. | Elsevier | 2021
    Schlagwörter: Markov decision process

    Adaptive rail transit network operations with a rollout surrogate-approximate dynamic programming approach

    Nguyen, Hoa T.M. / Chow, Andy H.F. | Elsevier | 2023
    Schlagwörter: Markov decision process

    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

    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

    Adaptive traffic parameter prediction: Effect of number of states and transferability of models

    Comert, Gurcan / Bezuglov, Anton / Cetin, Mecit | Elsevier | 2016
    Schlagwörter: Hidden Markov model

    A dynamic ambulance routing model with multiple response

    Yoon, Soovin / Albert, Laura A. | Elsevier | 2019
    Schlagwörter: Markov decision processes

    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

    A fully Bayesian multivariate approach to before–after safety evaluation

    Park, Eun Sug / Park, Jaebeom / Lomax, Timothy J. | Elsevier | 2009
    Schlagwörter: Markov chain Monte Carlo

    A Gaussian random field model for de-speckling of multi-polarized Synthetic Aperture Radar data

    Mahdianpari, Masoud / Motagh, Mahdi / Akbari, Vahid et al. | Elsevier | 2019
    Schlagwörter: Markov random field (MRF)