This paper proposed an analytical method for queue length modeling at a metered on-ramp, and developed a mesoscopic simulation model for queue length estimation under various demand-to-capacity scenarios. Queue length data were collected at four representative ramp metering locations for model validation; results showed that the queue length modeling method could properly capture the realistic queue profile, and the estimated queue lengths were close to the field observations. It was found that for under-saturated scenarios, queue length showed an exponential increasing trend with demand-to-capacity ratio; while for over-saturated scenarios, the queue length tended to increase linearly with demand-to-capacity ratio. Simulation results indicated that for under-saturated conditions, the required queue storage length was approximately 5.7 percent of on-ramp demand when demand was less than 500 vphpl, or 3.9 percent when demand was between 500 and 900 vphpl.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Queue length estimation for a metered on-ramp using mesoscopic simulation


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

    Published in:

    Transportation Letters ; 11 , 10 ; 570-579


    Publication date :

    2019-11-11


    Size :

    10 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    A Ramp Queue Length Estimation Algorithm

    Vigos, G. / Papagergiou, M. / Yibing Wang, | IEEE | 2006


    Impact of On-Ramp Traffic Flow Arrival Profile on Queue Length at Metered On-Ramps

    Yang, Guangchuan / Tian, Zong / Wang, Zhongren et al. | ASCE | 2018



    Experiment to Improve Estimation of Vehicle Queue Length at Metered On-Ramps

    Wu, Jingcheng / Jin, Xia / Horowitz, Alan J. et al. | Transportation Research Record | 2009