Two types of algorithms for on-ramp queue estimation are discussed; a Kalman filter and a conservation model. A volume-balancing ratio is introduced to both models to account for unavoidable detector miscounting behavior. Estimation results are compared with queue data observed in the field. The volume-balancing ratio improves both models. Although the conservation model may provide more accurate prediction with balanced volumes, the Kalman filter tends to provide better estimation when the volume-balancing ratio deviates from 1. Generally the Kalman filter provides a better prediction, but the conservation model is simpler to implement. Attempts to improve the Kalman filter further are also explored.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Wu, Jingcheng (author) / Jin, Xia (author) / Horowitz, Alan J. (author) / Gong, Daqing (author)


    Publication date :

    2009-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Methodologies for Estimating Vehicle Queue Length at Metered On-Ramps

    Wu, Jingcheng / Jin, Xia / Horowitz, Alan J. | Transportation Research Record | 2008


    Queue Storage Design for Metered On-Ramps

    Zhongren Wang | DOAJ | 2013

    Free access

    A Multisource Data Approach for Estimating Vehicle Queue Length at Metered On-Ramps

    Luo, Xiaoling / Ma, Xiaobo / Munden, Matthew et al. | ASCE | 2022