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final report
Lessons Learned: Monitoring Highway Congestion and Reliability Using Archived Traffic Detector Data
Contact: Operations Feedback at OperationsFeedback@dot.gov.
prepared for
U.S. Department of Transportation
Federal Highway Administration
Office of Operations
Washington, DC 20590
prepared by
Texas Transportation Institute
3135 TAMU
College Station, Texas 77843-3135
with
Cambridge Systematics, Inc.
4445 Willard Avenue, Suite 300
Chevy Chase, MD 20815
under contract to
Battelle
505 King Avenue
Columbus, Ohio 43201
date
October 2004
EDL # 14059
Quality Assurance Statement
The Federal Highway Administration provides high-quality information to serve Government, industry, and the public in a manner that promotes public understanding. Standards and policies are used to ensure and maximize the quality, objectivity, utility, and integrity of its information. FHWA periodically reviews quality issues and adjusts its programs and processes to ensure continuous quality improvement.
Technical Report Documentation Page
| 1. Report No. FHWA-HOP-05-003 |
2. Government Accession No. | 3. Recipient's Catalog No. | |||
| 4. Title and Subtitle Lessons Learned: Monitoring Highway Congestion and Reliability Using Archived Traffic Detector Data |
5. Report Date October 2004 |
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| 6. Performing Organization Code | |||||
| 7. Author(s) Shawn Turner, Rich Margiotta, and Tim Lomax |
8. Performing Organization Report No. |
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9. Performing Organization Name and Address
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10. Work Unit No. | ||||
| 11. Contract or Grant No. DTFH61-01-C-00182 |
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| 12. Sponsoring Agency Name and Address Federal Highway Administration Office of Operations 400 7th Street, NW Washington, DC 20590 |
13. Type of Report and Period Covered Interim Report April - September 2004 |
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| 14. Sponsoring Agency Code | |||||
| 15. Supplementary Notes Performed under subcontract to Battelle. Research project: Mobility Monitoring Program - Year 4. Contracting Officer's Technical Representative (COTR): Mr. Dale Thompson and Mr. Chung Eng, FHWA Office of Operations |
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| 16. Abstract This report summarizes the top 10 lessons learned from the Mobility Monitoring Program (http://mobility.tamu.edu/mmp/) with respect to using archived traffic detector data for monitoring highway performance (e.g., traffic congestion and travel reliability). The Mobility Monitoring Program started in 2000 with archived freeway detector data from 10 cities. In 2004, the Program has grown to include nearly 30 cities with about 3,000 miles of freeway. In the first four years of the Program, the project team has gained valuable experience in the course of gathering archived data from State and local agencies for national congestion monitoring. The top 10 lessons learned are centered on these three general areas: analytical methods, data quality, and institutional issues. We believe these lessons learned will be instructive to the Federal Highway Administration (FHWA) as they continue to develop a national congestion monitoring program, as well as being useful for State and local agencies engaged in developing congestion monitoring capabilities. |
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| 17. Key Words mobility monitoring, performance monitoring, highway congestion, reliability, archived data |
18. Distribution Statement No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161. |
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| 19. Security Classif. (of this report) Unclassified |
20. Security Classif. (of this page) Unclassified |
21. No. of Pages 36 |
22. Price | ||
Form DOT F 1700.7 (8-72) Reproduction of completed page authorized
Table of Contents
List of Figures
Figure 1. Travel Time is the Basis for Defining Mobility-Based Performance Measures
Figure 2. Getting Performance Data
Figure 3. Congestion and Reliability Trends on Minneapolis-St. Paul Freeways, 2000-2002
Figure 4. Interstate 405 South Traffic Profile: General Purpose Lanes, 1999 Weekday Average
Figure 5. Graphic Illustrating Improvements from Ramp Metering in Seattle
Figure 6. Monthly Summary from FHWA's Urban Congestion Report
Figure 7. Illustration of Common Phenomenon: Slow Speeds During Early Morning Hours
List of Tables
Table 1. Potential Challenges to Accurately Assessing Congestion
Table 2. Potential Uses of Congestion Performance Measures
Table 3. Principles for Congestion Performance Monitoring
Table 4. Excerpt from ITIP Performance Report for Providence, Rhode Island
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