University of Minnesota
Minnesota Traffic Observatory

Unit's name. College of BrevitySchool of Significant Impact

Incident Decision Support Systems (IDSS) > Research


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:

  • Develop an Incident Decision Support System (IDSS) that uses GPS-equipped commercial trucks as probe vehicles on key freight corridors in Minnesota, and
  • Provide incident information to truck operators.


An incident detection algorithm was developed to support truck dispatchers in making necessary routing decisions when incidents occur. The proposed IDSS will compare the average travel time of probe vehicles with historical averages travel time, and the travel time difference between adjacent link segments and time intervals. Statistical analyses will be used to study the relationships among variables in both incident and non-incident conditions. In Minnesota, the incident information is reported and updated in a Computer Aided Dispatch (CAD) system by the state patrol or operators in the regional traffic management centers. Reported incident data from the state 511 system will be archived and used to validate the proposed algorithm that will be used as a key element in the proposed decision support system.