ITS Research Program, UW

Smart Trek:
Intelligent Transportation Infrastructures, Model Deployment Initiative

Sponsors:

Federal Highway Administration
Washington State Department of Transportation

Description:

ABC news feature story on Smart Trek model deployment initiative

The University of Washington is part of a public/private consortium that was selected to showcase model deployments of a fully integrated metropolitan area Intelligent Transportation Infrastructure. The Department of Transportation is using model deployments in several cities to demonstrate the benefits of integrated transportation management systems as part of its goal to reduce the travel time of Americans by at least 15 percent in 75 metropolitan areas with the us of ITS technologies.

The University's role in this model deployment initiative involves five projects.

1. We will support the continued existence of the Puget Sound ITS backbone architecture and infrastructure that are being used to obtain, fuse, and deliver traffic and traveler information.

2. We will provide wide-area access to a variety of traveler and traffic data sources, as well as to data fusion techniques and other ITS network resources. This will enhance implementation of the backbone to accommodate wider deployment.

3. We will deploy an Advanced Public Transit System/Advanced Traveler Information System (APTS/ATIS), Transit Watch, that provides the location of transit vehicles in real time on a display at a transit transfer facility.

4. We will also deploy an APTS/ATIS, Busview, that provides the location of transit vehicles in real time on a variety of computing and operating system platforms.

5. Our final project will provide production and programming for a professional quality traffic information channel.

References:

"Travel-Time Estimate Using a Series of Single Loop Volume and Measurements," D.J. Dailey, Proceedings of the Transportation Research Board Annual Meeting, Washington, DC, 12-16 January 1997.

"Real Time Highway Traffic Simulation and Prediction Using Inductance Loop Data," H. Xu and D.J. Dailey, Proceedings of the Vehicular Navigation and Information Systems 1995, pp. 194-9, Seattle, Washington, 30 July-2 August 1995.