Synonyme wurden verwendet für: Machine Learning
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21–40 von 82 Ergebnissen
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    The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms

    Katanalp, Burak Yiğit / Eren, Ezgi | Elsevier | 2020
    Schlagwörter: Machine learning

    The usefulness of artificial intelligence for safety assessment of different transport modes

    Tselentis, Dimitrios I. / Papadimitriou, Eleonora / van Gelder, Pieter | Elsevier | 2023
    Schlagwörter: Machine Learning

    Enhancing autonomous vehicle hyperawareness in busy traffic environments: A machine learning approach

    Alozi, Abdul Razak / Hussein, Mohamed | Elsevier | 2024
    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

    A hybrid machine learning model for predicting Real-Time secondary crash likelihood

    Li, Pei / Abdel-Aty, Mohamed | Elsevier | 2021
    Schlagwörter: Machine learning

    A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach

    Soleimani, Samira / Mousa, Saleh R. / Codjoe, Julius et al. | Elsevier | 2019
    Schlagwörter: Machine Learning

    Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US

    Wang, Shuli / Gao, Kun / Zhang, Lanfang et al. | Elsevier | 2024
    Schlagwörter: Spatial machine learning

    Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches

    Hasan, Md Mahmudul / Watling, Christopher N. / Larue, Grégoire S. | Elsevier | 2021
    Schlagwörter: Machine learning

    Real-time accident detection: Coping with imbalanced data

    Parsa, Amir Bahador / Taghipour, Homa / Derrible, Sybil et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Exploring nighttime pedestrian crash patterns at intersection and segments: Findings from the machine learning algorithm

    Hossain, Ahmed / Sun, Xiaoduan / Shahrier, Mahir et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Application of explainable machine learning for real-time safety analysis toward a connected vehicle environment

    Yuan, Chen / Li, Ye / Huang, Helai et al. | Elsevier | 2022
    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

    Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones

    Rahman, Md Sharikur / Abdel-Aty, Mohamed / Hasan, Samiul et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    A data-driven, kinematic feature-based, near real-time algorithm for injury severity prediction of vehicle occupants

    Wang, Qingfan / Gan, Shun / Chen, Wentao et al. | Elsevier | 2021
    Schlagwörter: Machine-learning algorithms

    Integrating machine learning into path analysis for quantifying behavioral pathways in bicycle-motor vehicle crashes

    Lu, Weike / Liu, Jun / Fu, Xing et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    On the interpretability of machine learning methods in crash frequency modeling and crash modification factor development

    Wen, Xiao / Xie, Yuanchang / Jiang, Liming et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Safety assurance for automated driving systems that can adapt using machine learning: A qualitative interview study

    Ballingall, Stuart / Sarvi, Majid / Sweatman, Peter | Elsevier | 2022
    Schlagwörter: Machine learning

    Deriving a joint risk estimate from dynamic data collected at motorcycle rides

    Hula, Andreas / Fürnsinn, Florian / Schwieger, Klemens et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Analyzing the injury severity in single-bicycle crashes: An application of the ordered forest with some practical guidance

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2023
    Schlagwörter: Machine learning