1–20 von 106 Ergebnissen
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    How many crashes can connected vehicle and automated vehicle technologies prevent: A meta-analysis

    Wang, Ling / Zhong, Hao / Ma, Wanjing et al. | Elsevier | 2019
    Verlag: Elsevier Ltd

    Intersection crash prediction modeling with macro-level data from various geographic units

    Lee, Jaeyoung / Abdel-Aty, Mohamed / Cai, Qing | Elsevier | 2017
    Verlag: Elsevier Ltd

    Macro-level pedestrian and bicycle crash analysis: Incorporating spatial spillover effects in dual state count models

    Cai, Qing / Lee, Jaeyoung / Eluru, Naveen et al. | Elsevier | 2016
    Verlag: Elsevier Ltd

    Examining traffic conflicts of up stream toll plaza area using vehicles’ trajectory data

    Xing, Lu / He, Jie / Abdel-Aty, Mohamed et al. | Elsevier | 2019
    Verlag: Elsevier Ltd

    Crash data augmentation using variational autoencoder

    Islam, Zubayer / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2020
    Verlag: Elsevier Ltd

    Macroscopic hotspots identification: A Bayesian spatio-temporal interaction approach

    Dong, Ni / Huang, Helai / Lee, Jaeyoung et al. | Elsevier | 2016
    Verlag: Elsevier Ltd

    Is the safety-in-numbers effect still observed in areas with low pedestrian activities? A case study of a suburban area in the United States

    Lee, Jaeyoung / Abdel-Aty, Mohamed / Xu, Pengpeng et al. | Elsevier | 2019
    Verlag: Elsevier Ltd

    Evaluation of surrogate measures for pedestrian trips at intersections and crash modeling

    Lee, Jaeyoung / Abdel-Aty, Mohamed / Shah, Imran | Elsevier | 2018
    Verlag: Elsevier Ltd

    Predicting real-time traffic conflicts using deep learning

    Formosa, Nicolette / Quddus, Mohammed / Ison, Stephen et al. | Elsevier | 2019
    Verlag: Elsevier Ltd

    Multivariate crash modeling for motor vehicle and non-motorized modes at the macroscopic level

    Lee, Jaeyoung / Abdel-Aty, Mohamed / Jiang, Ximiao | Elsevier | 2015
    Verlag: Elsevier Ltd

    Sensitivity analysis in the context of regional safety modeling: Identifying and assessing the modifiable areal unit problem

    Xu, Pengpeng / Huang, Helai / Dong, Ni et al. | Elsevier | 2014
    Verlag: Elsevier Ltd

    A Bayesian spatial random parameters Tobit model for analyzing crash rates on roadway segments

    Zeng, Qiang / Wen, Huiying / Huang, Helai et al. | Elsevier | 2016
    Verlag: Elsevier Ltd

    Crash risk analysis for Shanghai urban expressways: A Bayesian semi-parametric modeling approach

    Yu, Rongjie / Wang, Xuesong / Yang, Kui et al. | Elsevier | 2015
    Verlag: Elsevier Ltd

    A Hybrid Latent Class Analysis Modeling Approach to Analyze Urban Expressway Crash Risk

    Yu, Rongjie / Wang, Xuesong / Abdel-Aty, Mohamed | Elsevier | 2017
    Verlag: Elsevier Ltd

    Exploring crash mechanisms with microscopic traffic flow variables: A hybrid approach with latent class logit and path analysis models

    Yu, Rongjie / Zheng, Yin / Abdel-Aty, Mohamed et al. | Elsevier | 2019
    Verlag: Elsevier Ltd

    Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

    Gong, Yaobang / Abdel-Aty, Mohamed / Yuan, Jinghui et al. | Elsevier | 2020
    Verlag: Elsevier Ltd

    Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)

    Zhang, Shile / Abdel-Aty, Mohamed / Wu, Yina et al. | Elsevier | 2020
    Verlag: Elsevier Ltd