This paper compares queue lengths at the two different on-ramp configurations: arterial-to-freeway ramp and freeway-to-freeway connector. Mesoscopic queue length simulation models are developed based on the input-output method. The input-output method aims to model the traffic flow arrival profile; then, the mesoscopic simulation model generates random traffic volume to simulate the stochasticity of traffic flow. The simulation models are validated using field-collected data. Simulation results indicated that the traffic flow arrival pattern has significant impacts on ramp queue length; vehicle platoons released from the upstream signalized intersection tend to exacerbate ramp queue length. At metered ramps, the required queue storage length is found to be 5.7% of demand when demand is less than 500 vehicles per hour per lane (vphpl), or 3.9% when demand is greater than 500 vehicles per hour per lane (vphpl). In comparison, at metered connectors, the percent numbers are 4.7 and 2.1%, respectively.


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    Title :

    Impacts of traffic flow arrival pattern on the necessary queue storage space at metered on-ramps


    Contributors:
    Yang, Guangchuan (author) / Tian, Zong (author) / Xu, Hao (author) / Wang, Zhongren (author) / Wang, Daobin (author)

    Published in:

    Publication date :

    2018-08-09


    Size :

    19 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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    Queue Storage Design for Metered On-Ramps

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    Queue Management Techniques for Metered Freeway On-Ramps

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    Queue Management Techniques for Metered Freeway On-Ramps

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