1–20 von 45 Ergebnissen
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    Assessing the collective safety of automated vehicle groups: A duration modeling approach of accumulated distances between crashes

    Sohrabi, Soheil / Lord, Dominique / Dadashova, Bahar et al. | Elsevier | 2023
    Verlag: Elsevier Ltd

    Exploring the spatial relationship of e-bike and motorcycle crashes: Implications for risk reduction

    Kuo, Pei-Fen / Sulistyah, Umroh Dian / Putra, I Gede Brawiswa et al. | Elsevier | 2023
    Verlag: National Safety Council and Elsevier Ltd

    Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety

    Khodadadi, Ali / Tsapakis, Ioannis / Shirazi, Mohammadali et al. | Elsevier | 2022
    Verlag: Elsevier Ltd

    Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations

    Islam, A.S.M. Mohaiminul / Shirazi, Mohammadali / Lord, Dominique | Elsevier | 2022
    Verlag: Elsevier Ltd

    Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research

    Sohrabi, Soheil / Khodadadi, Ali / Mousavi, Seyedeh Maryam et al. | Elsevier | 2021
    Verlag: Elsevier Ltd

    Toward a crowdsourcing solution to identify high-risk highway segments through mining driving jerks

    Li, Xiao / Mousavi, Seyedeh Maryam / Dadashova, Bahar et al. | Elsevier | 2021
    Verlag: Elsevier Ltd

    Application of different negative binomial parameterizations to develop safety performance functions for non-federal aid system roads

    Khodadadi, Ali / Tsapakis, Ioannis / Das, Subasish et al. | Elsevier | 2021
    Verlag: Elsevier Ltd

    Generalized criteria for evaluating hotspot identification methods

    Guo, Xiaoyu / Wu, Lingtao / Lord, Dominique | Elsevier | 2020
    Verlag: Elsevier Ltd

    Applying the colocation quotient index to crash severity analyses

    Kuo, Pei-Fen / Lord, Dominique | Elsevier | 2019
    Verlag: Elsevier Ltd

    Adjusting finite sample bias in traffic safety modeling

    Mao, Huiying / Deng, Xinwei / Lord, Dominique et al. | Elsevier | 2019
    Verlag: Elsevier Ltd

    Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual

    Shirazi, Mohammadali / Lord, Dominique / Geedipally, Srinivas Reddy | Elsevier | 2016
    Verlag: Elsevier Ltd

    Finite mixture modeling approach for developing crash modification factors in highway safety analysis

    Park, Byung-Jung / Lord, Dominique / Wu, Lingtao | Elsevier | 2016
    Verlag: Elsevier Ltd