The intersection congestion is the smallest unit of urban road network congestion. This paper takes four-leg signalized intersections as the research object, and studies congestion evolution. First, according to survey data, congestion indexes of four-leg signalized intersections considering user experience are proposed, including number of stops, maximum queue length, speed, saturation, and intersection delay. Second, congestion evolution is explored in experiments using microscopic simulation software. Intersection input volume follows three patterns: linear increasing flow, increasing as pulses, and increasing as steps. Third, this paper discusses congestion changes when approaches are widened and left-turns are prohibited. The results show that intersection congestion lags behind increasing demand; for pulse increase demand, congestion discharge speed is faster than congestion formation; the speed and degree of traffic congestion at approach widened intersections are lower than those without widening under the same traffic demand conditions; traffic congestion at full-direction intersections is more serious than at left-turn prohibited intersections.


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    Titel :

    Analysis of Congestion Evolution at Four-Leg Signalized Intersections


    Beteiligte:
    Ma, Yingying (Autor:in) / Zou, Lei (Autor:in) / Xie, Wufeng (Autor:in) / Xu, Jianmin (Autor:in)

    Kongress:

    18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China


    Erschienen in:

    CICTP 2018 ; 1633-1643


    Erscheinungsdatum :

    02.07.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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