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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

    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-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

    Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

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

    The use of machine learning improves the assessment of drug-induced driving behaviour

    van der Wall, H.E.C. / Doll, R.J. / van Westen, G.J.P. et al. | 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

    The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms

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

    The effect of workers' visibility on effectiveness of intervention programs: Supervisory-based safety interventions

    Luria, Gil / Zohar, Dov / Erev, Ido | Elsevier | 2007
    Schlagwörter: Reinforcement learning

    The effect of COVID-19 on self-reported safety incidents in aviation: An examination of the heterogeneous effects using causal machine learning

    Choi, Youngran / Gibson, James R. | Elsevier | 2022
    Schlagwörter: Machine learning

    The cross-level effect of team safety-specific transformational leadership on workplace safety behavior: The serial mediating role of team safety climate and team safety motivation

    Wang, Dawei / Mao, Wenxu / Zhao, Chaoyue et al. | Elsevier | 2023
    Schlagwörter: Social learning theory

    Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms

    Kuşkapan, Emre / Çodur, M. Yasin / Atalay, Ahmet | Elsevier | 2021
    Schlagwörter: Machine learning

    Speeding by young novice drivers: What can personal characteristics and psychosocial theory add to our understanding?

    Scott-Parker, Bridie / Hyde, Melissa K. / Watson, Barry et al. | Elsevier | 2012
    Schlagwörter: Social learning theory

    Spanish validation of the mindful organizing scale: A questionnaire for the assessment of collective mindfulness

    Renecle, Michelle / Tomás, Inés / Gracia, Francisco J. et al. | Elsevier | 2019
    Schlagwörter: Team learning

    Some implications of an event-based definition of exposure to the risk of road accident

    Elvik, Rune | Elsevier | 2014
    Schlagwörter: Learning

    Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories

    Li, Meng / Li, Zhibin / Xu, Chengcheng et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review

    Watling, Christopher N. / Mahmudul Hasan, Md / Larue, Grégoire S. | Elsevier | 2020
    Schlagwörter: Machine learning

    Self-learning adaptive traffic signal control for real-time safety optimization

    Essa, Mohamed / Sayed, Tarek | Elsevier | 2020
    Schlagwörter: Reinforcement learning

    Safety management by walking around (SMBWA): A safety intervention program based on both peer and manager participation

    Luria, Gil / Morag, Ido | Elsevier | 2011
    Schlagwörter: Organizational learning

    Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods

    Arvin, Ramin / Khattak, Asad J. / Qi, Hairong | Elsevier | 2020
    Schlagwörter: Deep 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

    Safety: A collective and embedded competency. An ethnographic study of safety practices at an industrial workplace in the Netherlands

    Biermann-Teuscher, Dorit / Thissen, Lotte / Horstman, Klasien et al. | Elsevier | 2023
    Schlagwörter: Organizational learning

    Safer tomorrow: Irish dairy farmers’ self-perception of their farm safety practices

    O'Connor, Tracey / Kinsella, Jim / O'Hora, Denis et al. | Elsevier | 2022
    Schlagwörter: Social learning

    Role of sensation seeking and attitudes as mediators between age of driver and risky driving of Powered Two Wheelers

    Hassan, Thajudeen | Online Contents | 2017
    Schlagwörter: Social discrimination learning

    Road safety evaluation with multiple treatments: A comparison of methods based on simulations

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

    Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics

    Hussain, Fizza / Ali, Yasir / Li, Yuefeng et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles

    Lian, Yanqi / Zhang, Guoqing / Lee, Jaeyoung et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Red-light running violation prediction using observational and simulator data

    Jahangiri, Arash / Rakha, Hesham / Dingus, Thomas A. | Elsevier | 2016
    Schlagwörter: Machine learning

    Real-time traffic accidents post-impact prediction: Based on crowdsourcing data

    Lin, Yunduan / Li, Ruimin | Elsevier | 2020
    Schlagwörter: Machine learning

    Real-time snowy weather detection based on machine vision and vehicle kinematics: A non-parametric data fusion analysis protocol

    Ali, Elhashemi / Khan, Md Nasim / Ahmed, Mohamed M. | Elsevier | 2022
    Schlagwörter: Unsupervised machine learning

    Real-time signal-vehicle coupled control: An application of connected vehicle data to improve intersection safety

    Ghoul, Tarek / Sayed, Tarek | Elsevier | 2021
    Schlagwörter: Reinforcement learning

    Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning

    Shanti, Mohammad Z. / Cho, Chung-Suk / de Soto, Borja Garcia et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Real-time driving risk assessment using deep learning with XGBoost

    Shi, Liang / Qian, Chen / Guo, Feng | Elsevier | 2022
    Schlagwörter: Deep learning

    Real-time crash risk prediction on arterials based on LSTM-CNN

    Li, Pei / Abdel-Aty, Mohamed / Yuan, Jinghui | Elsevier | 2019
    Schlagwörter: Deep learning

    Real-time crash prediction on express managed lanes of Interstate highway with anomaly detection learning

    Yang, Samgyu / Abdel-Aty, Mohamed / Islam, Zubayer et al. | Elsevier | 2024
    Schlagwörter: Deep Learning

    Real-time accident detection: Coping with imbalanced data

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

    Ranking contributors to traffic crashes on mountainous freeways from an incomplete dataset: A sequential approach of multivariate imputation by chained equations and random forest classifier

    Li, Linchao / Prato, Carlo G. / Wang, Yonggang | Elsevier | 2020
    Schlagwörter: Machine learning

    Railway accident prediction strategy based on ensemble learning

    Meng, Haining / Tong, Xinyu / Zheng, Yi et al. | Elsevier | 2022
    Schlagwörter: Ensemble learning

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