This paper presents a vehicle-type-specific headway distribution analysis in a freeway work zone. The goal of this paper is to provide a vehicle-type-specific model with different time periods using empirical work-zone data from highway I-91 in Greenfield, MA. A nonparametric approach with a Gaussian kernel is used to describe the vehicle-type-specific headway distribution in a freeway work zone. No assumption is required on how the headways should be distributed for nonparametric methods. The vehicles are classified into Car, Van, and Truck based on a FHWA vehicle-type classification scheme. Statistical tests indicate nonparametric distribution with Gaussian kernel outperforms the lognormal distribution in statistical sense according to the χ 2 values. Further, another work zone dataset from Jacksonville, FL is utilized to examine the mixed headway scenario without specifying vehicle types. The K S and Chi-square test results suggest the necessity of considering the vehicle types separately. Following the results, a discussion regarding why nonparametric model is better and the future research directions are presented.


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    Titel :

    Nonparametric Modeling of Vehicle-Type-Specific Headway Distribution in Freeway Work Zones


    Beteiligte:
    Dong, Shangjia (Autor:in) / Wang, Haizhong (Autor:in) / Hurwitz, David (Autor:in) / Zhang, Guohui (Autor:in) / Shi, Jianjun (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    09.07.2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt



    Nonparametric Modeling of Vehicle-Type-Specific Headway Distribution in Freeway Work Zones

    Dong, Shangjia / Wang, Haizhong / Hurwitz, David et al. | British Library Online Contents | 2015




    Vehicle headway distribution in work zones

    Weng, Jinxian / Meng, Qiang / Fwa, Tien Fang | Taylor & Francis Verlag | 2014