Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota
The key element in improving traffic operations and performing real-time management is the ability to assess the effectiveness
of various alternatives prior to implementation. Likewise, the crucial feature for providing this capability is a Traffic Data
Management System (TDMS), which gathers data and makes it available for various traffic analysis applications. The purpose
of this research is to develop TDMS as part of a Laboratory Environment for TRaffic ANalysis (LETRAN). Such a laboratory
environment would provide easy and efficient access to various kinds of traffic data for use in simulation, control, incident
detection, and other types of traffic analysis applications to be deployed in a next-generation traffic management center. In
addition, a Machine-Vision Laboratory (MVL) will be designed and implemented as part of the Center for Transportation
Studies(CTS) Intelligent Transportation Systems Laboratory (ITS Lab). This MVL will use live video feeds from both
freeways and arterial streets and provide machine-vision technology for conducting traffic detection, data collection, and group
training exercises. Such capabilities will allow for the collection of detailed, accurate, and continuous data for successful
model development, calibration, testing and evaluation.
Center for Transportation Studies Final Report,
ITS Institute Program
Reynhout, Kenneth; Michalopoulos, Panos; Siagian, Alexander.
Activation of the I-394 Laboratory for ITS Operational Testing.
Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota.
Retrieved from the University of Minnesota Digital Conservancy,
Content distributed via the University of Minnesota's Digital Conservancy may be subject to additional license and use restrictions applied by the depositor.