Public transit, as a major part of urban transportation, plays an irreplaceable role. Government and transit agencies are trying to make transit be more competitive through offering faster service. Travel speed, which directly reflects the service level and key specifications of public transit, is influenced by many factors. The factors affecting bus speed are analyzed from three aspects: links, intersections, and stations. On the basis of these, analytical mode models are established and through parameter transformation, the multiple linear regression model contains reciprocals of travel speed, intensity of passengers, density of stations, relative density of intersections. Time period is validated and tested by using automatic vehicle location data, geographic data, smart card data, and signal timing data obtained from the Shanghai 49 bus line. Test results show that the model can reflect the actual operation. In the end of this paper, quantitative analysis of the impact of each factor on speed is done and some suggestions are proposed for increasing bus travel speed.


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    Title :

    Estimating Bus Travel Speed under Information Collection Environment


    Contributors:
    Zhang, Cen (author) / Teng, Jing (author)

    Conference:

    Fourth International Conference on Transportation Engineering ; 2013 ; Chengdu, China


    Published in:

    ICTE 2013 ; 2149-2156


    Publication date :

    2013-10-09




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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