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Programs & Labs

Subhead H2

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Research Fact Sheets

Overviews of ITS research projects are available as PDF files which may be viewed online, downloaded, and printed. New fact sheets are prepared and added to this page on an ongoing basis. Additional information about these and other research projects is available in the Research area of this web site.

Ongoing research programs

Intelligent Transportation Systems Institute
Max Donath, Director

Intelligent Vehicles Laboratory (brochure)
Craig Shankwitz, Director

Northland Advanced Transportation Systems Laboratories (NATSRL)
Eil Kwon, Director

Research projects

Software Issues in Critical Transportation Systems
Mats Heimdahl, Computer Science & Engineering

Employment of the Traffic Management Laboratory (TRAMLAB) for Evaluating Ramp Control Strategies in the Twin Cities
Panos Michalopoulos, Civil Engineering

Image Compression for Storage and Transmission of Digital Images
Vladimir Cherkassky, Electrical Engineering

Reassessment of Road Accident Data Analysis Policy in Minnesota: Do We Use the Data We Have? What More Can Be Learned?
Eitan Naveh, Center for Development of Technological Leadership

Real-time Traffic Prediction
Gary Davis, Civil Engineering

Capacity Estimation in Freeway Weaving Areas
Eil Kwon, ITS Institute

Intelligent Vehicles Initiative Field Operations Test (SAFEPLOW)
Craig Shankwitz, Mechanical Engineering

Evaluating the Equity and Efficiency of Ramp Meters
David Levinson, Civil Engineering

Monitoring Weaving Sections
Nikos Papanikolopoulos, Computer Science

Computer-aided Testing and Evaluation of Ramp Control Strategies
Panos Michalopoulos, Civil Engineering

Pedestrian Control at Intersections
Nikos Papanikolopoulos, Computer Science

Spatial Orientation and Navigation in Elderly Drivers
Herb Pick, Center for Cognitive Science

A GPS-based Failure Identification System for Intelligent Vehicles
Rajesh Rajamani, Mechanical Engineering

High-performance Spatial Visualization of Traffic Data
Shashi Shekhar, Computer Science

An Automatic Visibility Measurement System Based on Video Cameras
Taek Kwon, Electrical and Computer Engineering