Reasonable Slow traffic (non-motor vehicle and pedestrian) travel demand foresting is the premise and foundation of urban traffic intersection optimization. Aimed at dealing with the lack of slow traffic volume estimation at urban intersections while the inherent mixed traffic characteristics of our country, this paper analyzes the latest research on slow traffic demand forecasting from the following aspects: influencing factors and prediction methods. Suggested establishing the slow traffic volume estimation model by analyzing the relationship of it with the land use, demographic characteristics, transportation system characteristics near the intersection and intersections' own facility characteristics. Given recommended values of the sample selection, investigation scope and survey indicators according to China's national conditions.


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    Titel :

    Research on slow traffic travel demand forcasting at urban intersections


    Beteiligte:
    Hong Liu, (Autor:in) / Xuewu Chen, (Autor:in)


    Erscheinungsdatum :

    01.06.2011


    Format / Umfang :

    236275 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch