A New Method for Estimating Truck Queue Length at Marine Terminal Gates

As international trade and freight volumes increase, there is a growing port congestion problem, leading to the long truck waiting lines at US marine terminal gates, which sometimes causes traffic problems in the adjacent roadway network. To solve this problem, an accurate model for estimating the truck queue length and waiting time is needed. However, the existing methods, such as fluid flow model, stationary queuing models, non-stationary queuing models, simulation models and regression models, all have their limitations and cannot provide accurate queue length estimation under certain conditions. The proposed project is to develop a new method for estimating terminal gate truck queue length that can fill the gaps in the existing methods. To evaluate the accuracy of the developed method, simulation-based numerical experiments will be conducted to compare the estimated queue lengths of different methods under various customer demand and service rate conditions. The developed method can be used for assessing the effectiveness of various countermeasures for reducing truck queue length and waiting times at marine terminals.


    • English


    • Status: Completed
    • Funding: $81702
    • Contract Numbers:


    • Sponsor Organizations:

      Center for Advanced Multimodal Mobility Solutions and Education

      University of North Carolina, Charlotte
      Charlotte, NC  United States  28223

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      University of North Carolina - Charlotte

      9201 University City Blvd
      Charlotte, North Carolina  United States  28223-0001
    • Project Managers:

      Fan, Wei

    • Performing Organizations:

      Texas Southern University, Houston

      3100 Cleburne Street
      Houston, TX  United States  77004
    • Principal Investigators:

      Qi, Yi

      Azimi, Mehdi

    • Start Date: 20191001
    • Expected Completion Date: 20210930
    • Actual Completion Date: 20210930

    Subject/Index Terms

    Filing Info

    • Accession Number: 01724155
    • Record Type: Research project
    • Source Agency: Center for Advanced Multimodal Mobility Solutions and Education
    • Contract Numbers: 69A3551747133
    • Files: UTC, RIP
    • Created Date: Dec 2 2019 9:22AM