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101–120 von 204 Ergebnissen
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    Discovering vehicle usage patterns on the basis of daily mobility profiles derived from floating car data

    Sun, Danyang / Leurent, Fabien / Xie, Xiaoyan | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

    Stocker, Markus / Silvonen, Paula / Rönkkö, Mauno et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: Machine Learning

    Multimode trip information detection using personal trajectory data

    Yang, Fei / Yao, Zhenxing / Cheng, Yang et al. | Taylor & Francis Verlag | 2016
    Schlagwörter: machine learning algorithm

    A self-learning system for local ramp metering with queue management

    Lu, Chao / Huang, Jie | Taylor & Francis Verlag | 2017
    Schlagwörter: reinforcement learning

    Neural-network-based modelling and analysis for time series prediction of ship motion

    Li, Guoyuan / Kawan, Bikram / Wang, Hao et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: learning strategy

    Electric vehicle charging demand forecasting using deep learning model

    Yi, Zhiyan / Liu, Xiaoyue Cathy / Wei, Ran et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information

    Tang, Kun / Chen, Shuyan / Khattak, Aemal J. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Schlagwörter: deep-learning

    Modeling freight mode choice using machine learning classifiers: a comparative study using Commodity Flow Survey (CFS) data

    Uddin, Majbah / Anowar, Sabreena / Eluru, Naveen | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Learning electric vehicle driver range anxiety with an initial state of charge-oriented gradient boosting approach

    Song, Yang / Hu, Xianbiao | Taylor & Francis Verlag | 2023
    Schlagwörter: ensemble learning

    MODELLING LEARNING AND ADAPTATION IN TRANSPORTATION CONTEXTS

    Arentze, Theo / Timmermans, Harry | Taylor & Francis Verlag | 2005
    Schlagwörter: learning and adaptation

    Predictive modelling of injury severity in bicycle–motor vehicle collisions utilizing learning vector quantization: a case study of Britain’s cycling capital

    Siamidoudaran, Meisam / Siamidodaran, Mehdi / Iscioglu, Ersun | Taylor & Francis Verlag | 2021
    Schlagwörter: learning vector quantization

    A behavioral analysis of freight mode choice decisions

    Samimi, Amir / Kawamura, Kazuya / Mohammadian, Abolfazl | Taylor & Francis Verlag | 2011
    Schlagwörter: machine learning

    Problems Encountered during Implementation of the Backpropagation

    Kim, Daehyon | Taylor & Francis Verlag | 1999
    Schlagwörter: Learning rate , Learning mode

    Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features

    Khan, Md Nasim / Das, Anik / Ahmed, Mohamed M. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    An interpretable machine learning approach to understanding the impacts of attitudinal and ridesourcing factors on electric vehicle adoption

    Bas, Javier / Zou, Zhenpeng / Cirillo, Cinzia | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Multiagent reinforcement learning for autonomous driving in traffic zones with unsignalized intersections

    Spatharis, Christos / Blekas, Konstantinos | Taylor & Francis Verlag | 2024
    Schlagwörter: multiagent reinforcement learning

    Physical, data-driven and hybrid approaches to model engine exhaust gas temperatures in operational conditions

    Freier Zugriff
    Coraddu, Andrea / Oneto, Luca / Cipollini, Francesca et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: multitask learning

    Optimizing sensitivity parameters of automated driving vehicles in an open heterogeneous traffic flow system

    Bouadi, Marouane / Jia, Bin / Jiang, Rui et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning

    Active learning metamodelling for survival rate analysis of simulated emergency medical systems

    Antunes, Francisco / Amorim, Marco / Pereira, Francisco et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Active learning