Intelligent Parking Assist for Trucks with Prediction

This project investigates the truck parking problem in the US, and in particular California, and develops an intelligent parking assist system for trucks with prediction capabilities by taking into account the availability of information technologies, and modeling and prediction techniques. The researchers will use stochastic techniques to model the availability of parking at different locations, and will use these models to develop a prediction algorithm that will predict the availability of parking at the time of arrival of the truck. This predictive capability will allow trucks to plan their trips and rest breaks more efficiently than using a rule of thumb and past experience. The models will be continuously updated as new data become available by using current and future information technologies. The benefits of such a system on freight mobility, environment and greenhouse gas (GHG) emissions, fuel economy and health will be considerable and efforts will be made to quantify them. The emphasis will be on the development of modeling techniques and prediction algorithms for truck parking availability. The researchers plan to address the feasibility of commercializing such a system based on available sensor and information technologies, and by taking into account other efforts on freight advanced traveler information systems to which their algorithms may be useful.


  • English


  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Office of the Assistant Secretary for Research and Technology

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

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 
  • Performing Organizations:

    METRANS Transportation Center

    University of Southern California
    Los Angeles, CA  United States  90089-0626
  • Principal Investigators:

    Ioannou, Petros

  • Start Date: 20170101
  • Expected Completion Date: 20171231
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01636586
  • Record Type: Research project
  • Source Agency: National Center for Sustainable Transportation
  • Contract Numbers: DTRT13-G-UTC29
  • Files: UTC, RiP
  • Created Date: May 26 2017 3:21PM