Traffic Data Acquisition and Distribution: Archived Data User Services Data Mine

Abstract

The creation and use of an intelligent transportation systems archived data user services data mine that is available on the World Wide Web are described. The transportation infrastructure in the Seattle metropolitan area is instrumented with thousands of inductance loops. The data from these loops can be used in a variety of modeling and transportation planning activities. However, only with a large repository of this data, covering a significant geographical area and a long temporal period, can complex research and planning questions be posed and answered. Such a repository or data mine is described in terms of the steps necessary to create such a repository, the web interface to use the data mine, the lessons learned in the creation and use of the data mine, the diverse domains from which users have come, and some of the applications for which the data have been used.

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References

Dailey

D. J.

, Meyers

, and Friedland

Self-Describing Data Transfer Methodology for Intelligent Transportation Systems Applications. In Transportation Research Record: Journal of the Transportation Research Board, No. 1660, TRB, National Research Council, Washington, D.C., 1999, pp. 140–147.

Ito

, Fujita

, and Keitoku

Advanced Traffic Information Service. Proc., Second World Congress on Intelligent Transport Systems, Vol. II, Tokyo, Japan, 1995, pp. 670–674.

Dillinburg

Gary-Chicago-Milwaukee Corridor Project. Illinois Department of Transportation. http://www.ai.eecs.uic.edu/GCM/GCM-Description.html. Accessed Nov. 20, 2000.

Wright

J. L.

TRAVLINK—Can Information Influence Choice?

Proc., IVHS AMERICA, Washington, D.C., 1993.

Kobayashi

, Watanabe

, and Iwata

Development and Management of Interurban Expressway Vehicle Information and Communication System (VICS). Proc., Second World Congress on Intelligent Transport Systems, Vol. II, Tokyo, Japan, 1995, pp. 772–776.

Sobolewski

, and Wright

J. L.

Rural Applications of IVHS in Minnesota. Proc., IVHS AMERICA, Washington, D.C., 1993.

Wallace

C. E.

, and Kilpatrick

A. K.

IVHS Applications for Rural Highways and Small Towns. Proc., IVHS AMERICA, Washington, D.C., 1993.

Turnbull

K. F.

The Use of Information Generated from Transit AVL Systems. Proc., IVHS AMERICA, Washington, D.C., 1993.

Wallace

C. E.

, and Kilpatrick

A. K.

IVHS Implications for Transportation Demand Management. Proc., IVHS AMERICA, Washington, D.C., 1993.

10.

Ashbrook

T. V.

Freeway Surveillance Data Base Design and Development. M.S. thesis. University of Washington, Seattle, 1983.

11.

Casey

R. F.

, Labell

L. N.

, and Schwenk

J. C.

Evaluation Plan for AVL Implementations. Proc., IVHS AMERICA, Washington, D.C., 1993.

12.

Farber

, and Paley

Using Freeway Traffic Data to Estimate the Effectiveness of Rear-End Collision Countermeasures. Proc., IVHS AMERICA, Washington, D.C., 1993.

13.

Elango

, and Dailey

D. J.

Irregularly Sampled Transit Vehicles Used as Traffic Sensors. In Transportation Research Record: Journal of the Transportation Research Board, No. 1719, TRB, National Research Council, Washington, D.C., 2000, pp. 33–44.

14.

Wall

, and Dailey

D. J.

General Automata Calibrated with Roadway Data for Traffic Prediction. Presented at 80th Transportation Research Board Annual Meeting, Washington, D.C., 2001.

15.

Dailey

D. J.

, and Li

Algorithm for Estimating Mean Traffic Speed with Uncalibrated Cameras. In Transportation Research Record: Journal of the Transportation Research Board, No. 1719, TRB, National Research Council, Washington, D.C., 2000, pp. 27–32.