Use of Vessel Automatic Information System Data to Improve Multi-modal Transportation In and Around the Ports

One of the major challenges in multi-modal transportation is the alignment in planning the arrival and departure of different modes, e.g. vessels and trucks, such that the containers can be transferred without delays. Although trucking companies may have access to some levels of information in order to track the vessels and cargos, they don’t have accurate estimation for the arrivals of those vessels to the port. Automatic Information System provides a means for ships to electronically broadcast ship data at regular intervals including vessel identification, position, course, and speed. PortVision is a tool that uses the Automatic Information System. By using this tool, the positions of the vessels can be tracked in order to calculate the vessel estimated time of arrivals. It will help the trucking companies to have a better plan for delivering or picking up the containers. If the system detects a deviation from the planned schedule (e.g. a delay in arrival of a vessel), the involved trucking companies are informed pro-actively. Consequently, the related trucks can be re-scheduled at an early stage and waiting times and unsuccessful attempts to deliver or pick up a container can be reduced. The outcomes of the project will decrease unproductive waiting time of transportation vehicles and improve the multi-modal connections in ports.

  • Supplemental Notes:
    • Contract to a Performing Organization has not yet been awarded.


  • English


  • Status: Active
  • Sponsor Organizations:

    Center for Advanced Multimodal Mobility Solutions and Education

    University of North Carolina, Charlotte
    Charlotte, NC  United States  28223
  • Managing Organizations:

    University of North Carolina, Charlotte

    Department of Civil and Environmental Engineering
    9201 University City Boulevard
    Charlotte, NC  United States  28223-0001
  • Project Managers:

    Fan, Wei

  • Performing Organizations:

    Texas Southern University, Houston

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

    Azimi, Mehdi

    Qi, Yi

  • Start Date: 20170115
  • Expected Completion Date: 20180930
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01625951
  • Record Type: Research project
  • Source Agency: Center for Advanced Multimodal Mobility Solutions and Education
  • Files: UTC, RiP
  • Created Date: Feb 14 2017 12:14PM