81–100 von 1,032 Ergebnissen
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    Prediction of aircraft performances based on data collected by air traffic control centers

    Hrastovec, Marko / Solina, Franc | Elsevier | 2016
    Schlagwörter: Machine learning

    Traffic campaigns and overconfidence: An experimental approach

    Silva, Thiago Christiano / Laiz, Marcela T. / Tabak, Benjamin Miranda | Elsevier | 2020
    Schlagwörter: Machine learning

    An explainable machine learning approach to improve take-off time predictions

    Dalmau, Ramon / Ballerini, Franck / Naessens, Herbert et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Network–wide prediction of public transportation ridership using spatio–temporal link–level information

    Karnberger, Stephan / Antoniou, Constantinos | Elsevier | 2019
    Schlagwörter: Machine learning

    Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach

    Li, Shuang / Pu, Ziyuan / Cui, Zhiyong et al. | Elsevier | 2024
    Schlagwörter: Causal machine learning , Doubly robust learning

    Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds

    Nair, Rahul / Dekusar, Anton | Elsevier | 2019
    Schlagwörter: Machine learning

    Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment

    Ye, Yingjun / Zhang, Xiaohui / Sun, Jian | Elsevier | 2019
    Schlagwörter: Deep reinforcement learning

    A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability

    Han, Yafei / Pereira, Francisco Camara / Ben-Akiva, Moshe et al. | Elsevier | 2022
    Schlagwörter: Machine learning , Deep learning

    Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning

    Shou, Zhenyu / Di, Xuan / Ye, Jieping et al. | Elsevier | 2019
    Schlagwörter: Imitation learning

    Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control

    Yazdani, Mobin / Sarvi, Majid / Asadi Bagloee, Saeed et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Deep learning

    Applications of deep learning in congestion detection, prediction and alleviation: A survey

    Kumar, Nishant / Raubal, Martin | Elsevier | 2021
    Schlagwörter: Deep learning

    Hub-and-spoke network design under congestion: A learning based metaheuristic

    Karimi-Mamaghan, Maryam / Mohammadi, Mehrdad / Pirayesh, Amir et al. | Elsevier | 2020
    Schlagwörter: Machine learning , Learning based Metaheuristics

    Deep neural networks for choice analysis: Extracting complete economic information for interpretation

    Wang, Shenhao / Wang, Qingyi / Zhao, Jinhua | Elsevier | 2020
    Schlagwörter: Machine learning

    Applying machine learning and google street view to explore effects of drivers’ visual environment on traffic safety

    Cai, Qing / Abdel-Aty, Mohamed / Zheng, Ou et al. | Elsevier | 2021
    Schlagwörter: Deep learning , Explainable machine learning

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Sunspot cycle prediction using Warped Gaussian process regression

    Gonçalves, Ítalo G. / Echer, Ezequiel / Frigo, Everton | Elsevier | 2019
    Schlagwörter: Machine learning

    Bridges across borders: A clustering approach to support EU regional policy

    Christodoulou, Aris / Christidis, Panayotis | Elsevier | 2020
    Schlagwörter: Machine learning

    Trustworthy safety improvement for autonomous driving using reinforcement learning

    Cao, Zhong / Xu, Shaobing / Jiao, Xinyu et al. | Elsevier | 2022
    Schlagwörter: Reinforcement Learning

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Schlagwörter: Machine learning