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    Numerical Study on Traffic Flow with Single Parameter State Equation

    Source: Journal of Transportation Engineering, Part A: Systems:;2002:;Volume ( 128 ):;issue: 002
    Author:
    Zuo-Jin Zhu
    ,
    Qing-Song Wu
    ,
    Rui Jiang
    ,
    Tong-Qiang Wu
    DOI: 10.1061/(ASCE)0733-947X(2002)128:2(167)
    Publisher: American Society of Civil Engineers
    Abstract: Traffic flow has been studied numerically by solving the kinematic wave equation with the second-order Monotone Upwind Scheme of Conservation Law (MUSCL), together with the boundary and initial conditions, which are examined by a computer based random generator derived from the Erlang process of order 250. With regard to traffic mixing, a fundamental flow-density diagram of road traffic is presented, where the ratio between the optimal and jam densities is used as a single parameter; its value is predicted by assuming that fast moving vehicles have a relatively large free speed but slow moving vehicles have a smaller free speed. Simple analysis for the state equation indicates that the parameter should be in a proper range from 0.333 to 0.618 to ensure a free speed beyond the optimal traffic speed. The effects of the single parameter on the spread of traffic shock wave have been discussed. It is found that, for congested traffic flow, in the case of a given flow density at the place of inlet and exit, the effects of the parameter on the propagation speed is apparent, while in the case of assigned flow rate on the inlet and the exit boundaries, the propagation speed is slightly dependent on the parameter. The propagation of density and flow rate fluctuation can be observed clearly from the corresponding 3D presentations.
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      Numerical Study on Traffic Flow with Single Parameter State Equation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/37413
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorZuo-Jin Zhu
    contributor authorQing-Song Wu
    contributor authorRui Jiang
    contributor authorTong-Qiang Wu
    date accessioned2017-05-08T21:04:08Z
    date available2017-05-08T21:04:08Z
    date copyrightMarch 2002
    date issued2002
    identifier other%28asce%290733-947x%282002%29128%3A2%28167%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/37413
    description abstractTraffic flow has been studied numerically by solving the kinematic wave equation with the second-order Monotone Upwind Scheme of Conservation Law (MUSCL), together with the boundary and initial conditions, which are examined by a computer based random generator derived from the Erlang process of order 250. With regard to traffic mixing, a fundamental flow-density diagram of road traffic is presented, where the ratio between the optimal and jam densities is used as a single parameter; its value is predicted by assuming that fast moving vehicles have a relatively large free speed but slow moving vehicles have a smaller free speed. Simple analysis for the state equation indicates that the parameter should be in a proper range from 0.333 to 0.618 to ensure a free speed beyond the optimal traffic speed. The effects of the single parameter on the spread of traffic shock wave have been discussed. It is found that, for congested traffic flow, in the case of a given flow density at the place of inlet and exit, the effects of the parameter on the propagation speed is apparent, while in the case of assigned flow rate on the inlet and the exit boundaries, the propagation speed is slightly dependent on the parameter. The propagation of density and flow rate fluctuation can be observed clearly from the corresponding 3D presentations.
    publisherAmerican Society of Civil Engineers
    titleNumerical Study on Traffic Flow with Single Parameter State Equation
    typeJournal Paper
    journal volume128
    journal issue2
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)0733-947X(2002)128:2(167)
    treeJournal of Transportation Engineering, Part A: Systems:;2002:;Volume ( 128 ):;issue: 002
    contenttypeFulltext
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