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Through the University of Minnesota's previous collaboration effort with the FHWA, the American Transportation Research Institute (ATRI) and the Minnesota DOT (MnDOT), we have developed a methodology to process historical truck GPS data using geospatial analysis techniques, and to enhance certain freight performance measures along freight significant corridors. Building upon our previous effort, this project will develop an Incident Decision Support System (IDSS) that uses GPS-equipped commercial trucks as probe vehicles on key freight corridors in Minnesota. An incident delay prediction methodology, the key element of IDSS, will be developed to support truck dispatchers in making necessary routing decisions when incidents occur. Detected incidents will be validated against incident reports from the MN 511 system to exclude recurring congestion or work zones. Estimated incident delay provides a key decision support element that will be fed to IDSS for freight dynamic route guidance which gives the freight driver or the dispatcher real-time route-specific information allowing them to make the best decision about whether to wait out the incident or take an alternative route.
Our nation's economy is highly dependent on reliable and cost-effective truck-freight transportation and delays to trucks are of particular concern to the nation. The objectives of this project are to: