1–20 von 201 Ergebnissen
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    Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information

    Halbersberg, Dan / Lerner, Boaz | Elsevier | 2019
    Schlagwörter: Machine learning

    Workers’ compensation claim counts and rates by injury event/exposure among state-insured private employers in Ohio, 2007–2017

    Wurzelbacher, Steven J. / Meyers, Alysha R. / Lampl, Michael P. et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Vulnerable road users’ crash hotspot identification on multi-lane arterial roads using estimated exposure and considering context classification

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Visual guidance during bicycle steering through narrow lanes: a study in children

    Vansteenkiste, Pieter | Online Contents | 2015
    Schlagwörter: Discrimination Learning - physiology

    Velocity control in car-following behavior with autonomous vehicles using reinforcement learning

    Wang, Zhe / Huang, Helai / Tang, Jinjun et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning

    Vehicle yaw stability control with a two-layered learning MPC

    Zhang, Zhiming / Xie, Lei / Lu, Shan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: model learning

    Vehicle detection in driving simulation using extreme learning machine

    Zhu, Wentao / Miao, Jun / Hu, Jiangbi et al. | Tema Archiv | 2014
    Schlagwörter: extreme learning machine

    Variance-based global sensitivity analysis for rear-end crash investigation using deep learning

    Moussa, Ghada S. / Owais, Mahmoud / Dabbour, Essam | Elsevier | 2021
    Schlagwörter: Deep learning

    Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence

    Masello, Leandro / Castignani, German / Sheehan, Barry et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Unveiling the relevance of traffic enforcement cameras on the severity of vehicle–pedestrian collisions in an urban environment with machine learning models

    Pineda-Jaramillo, Juan / Barrera-Jiménez, Humberto / Mesa-Arango, Rodrigo | Elsevier | 2022
    Schlagwörter: Machine learning

    Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach

    Zhao, Jingya / Liu, Pan / Xu, Chengcheng et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Transfer learning for spatio-temporal transferability of real-time crash prediction models

    Man, Cheuk Ki / Quddus, Mohammed / Theofilatos, Athanasios | Elsevier | 2021
    Schlagwörter: Transfer learning

    Transfer learning-based highway crash risk evaluation considering manifold characteristics of traffic flow

    Liu, Qingchao / Li, Chun / Jiang, Haobin et al. | Elsevier | 2022
    Schlagwörter: Transfer learning

    Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control

    Berntorp, K. / Quirynen, R. / Uno, T. et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: parameter learning

    Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data

    Khan, Md Nasim / Ahmed, Mohamed M. | Elsevier | 2020
    Schlagwörter: Machine Learning , Deep Learning

    Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications

    Gore, Ninad / Chauhan, Ritvik / Easa, Said et al. | Elsevier | 2023
    Schlagwörter: Machine learning models

    Traffic campaigns and overconfidence: An experimental approach

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

    Towards safer streets: A framework for unveiling pedestrians’ perceived road safety using street view imagery

    Hamim, Omar Faruqe / Ukkusuri, Satish V. | Elsevier | 2023
    Schlagwörter: Machine learning

    Toward safer highway work zones: An empirical analysis of crash risks using improved safety potential field and machine learning techniques

    Wang, Bo / Chen, Tianyi / Zhang, Chi et al. | Elsevier | 2023
    Schlagwörter: Machine learning