Skip to contentUnited States Department of Transportation - Federal Highway Administration FHWA Home
Research Home
REPORT
This report is an archived publication and may contain dated technical, contact, and link information
Publication Number: FHWA-HRT-12-054
Date: December 2012

 

Methodologies to Measure and Quantify Transportation Management Center Benefits: Final Synthesis Report

References

  1. Intelligent Transportation Systems. (2005). Archived Data Management Systems: A Cross-Cutting Study, U.S. Department of Transportation, Washington, DC.
  2. Research and Innovation Technology Administration. National ITS Architecture Version 6.1, U.S. Department of Transportation, Washington, DC. Obtained from: http://www.iteris.com/itsarch/. Site last accessed April 18, 2011.
  3. Fuhs, C. (2010). Synthesis of Active Traffic Management Experiences in Europe and the United States, Report No. FHWA-HOP-10-031, Federal Highway Administration, Washington, DC.
  4. Transportation Research Board. (2010). Highway Capacity Manual, 5th Edition, Washington, DC.
  5. Urban Crossroads, Inc. (2006). PeMS Data Extraction Methodology and Execution Technical Memorandum, Irvine, CA.
  6. Varaiya, P. Creating Transportation System Intelligence, University of California, Berkeley, Berkeley, CA. Obtained from: http://paleale.eecs.berkeley.edu/~varaiya/papers_ps.dir/California'sPerformanceMeasurementSystem.pdf. Site last accessed April 15, 2011.
  7. Martin, P.T. and Wu, P. (2003). Automated Data Collection, Analysis and Archival, University of Utah Traffic Lab, Salt Lake City, UT.
  8. University of Florida Transportation Research Center. (2008). Development of a Central Data Warehouse for Statewide ITS and Transportation Data in Florida, Phase II: Proof of Concept, Final Report, Gainesville, FL.
  9. Park, B. (2005). Transportation Management System Performance Monitoring, Evaluation and Reporting-A Technical Handbook, FHWA Report No. FHWA-HOP-07-142, University of Virginia, Charlottesville, VA.
  10. 10.  Shaw, T. (2003). Performance Measurements of Operational Effectiveness for Highway Segments and Systems, NCHRP Synthesis 311, Transportation Research Board, Washington, DC.
  11. Gordon, R. Design ITS, Plainview, NY. Obtained from: http://designints.com.
  12. Dailey, D.J., Meyers, D., Pond, L., and Guiberson, K. (2002). Traffic Data Acquisition and Distribution, Report No. WA-RD-484.1, University of Washington, Seattle, WA.
  13. Washington State Department of Transportation. Annual Traffic Report, Olympia, WA. Obtained from: http://www.wsdot.wa.gov/mapsdata/travel/annualtrafficreport.htm.
  14. Washington State Department of Transportation. Ramp and Roadway Report, Olympia, WA. Obtained from: http://www.wsdot.wa.gov/Northwest/TrafficVolume/.
  15. Turner, S., Margiotta, R., and Lomax, T. (2004). Monitoring Urban Freeways in 2003: Current Conditions and Trends from Archived Operations Data, Report No. FHWA-HOP-05-018, Federal Highway Administration, Washington, DC.
  16. INRIX, Inc. (2009). Benchmarking Traffic Data Quality, Kirkland, WA.
  17. Ishimaru, J.M. and Hallenbeck, M.E. (1999). Flow Evaluation Design Technical Report, Report No WA-RD-466.2, University of Washington, Seattle, WA.
  18. Higatani, A., Kitazawa, T., Tanabe, J., Suga, Y., Sekhar, R., and Asakura, Y. (2009). "Empirical Analysis of Travel Time Reliability Measures in Hanshin Expressway Network," Journal of Intelligent Transportation Systems, 13(1), 28-38.
  19. Weiss, N. and Hassett, M. (1988). Introductory Statistics, Addison Wesley Publishing Company, Reading, PA.
  20. Office of Operations. Travel Time Reliability: Making It There On Time, All The Time, Federal Highway Administration, Washington, DC. Obtained from: http://ops.fhwa.dot.gov/publications/tt_reliability/TTR_Report.htm#WhatisTTR. Site last accessed November 19, 2010.
  21. Gordon, R.L. et al. (1996). Traffic Control Systems Handbook, Report No. FHWA-SA-95-032, Federal Highway Administration, Washington, DC.
  22. Koonce, P. (2008). Traffic Signal Timing Manual, Report No. FHWA-HOP-08-024, Federal Highway Administration, Washington, DC.
  23. Florida Department of Transportation. (2000). Manual on Uniform Traffic Studies, FDOT Manual Number 750-020-007, Tallahassee, FL.
  24. 24.  Washington State Department of Transportation. 2009 Washington State Collision Data Summary, Washington State Department of Transportation, Olympia, WA. Obtained from: http://www.wsdot.wa.gov/mapsdata/collision/pdf/Washington_State_Collision_Data_Summary_2009.pdf. Site last accessed December 6, 2010.
  25. Dunn Engineering Associates, P.C. (2004). Rochester ITS Evaluation and Integration Planning, Monroe County, Draft Technical Memorandum, Highway Accident Analysis (Task 1.4), Bohemia, NY.
  26. New York State Department of Transportation. (2010). NYSDOT Safety Information Management System: Average Accident Costs/Severity Distribution State Highways 2009, NYSDOT, Albany, NY. Obtained from: https://www.nysdot.gov/divisions/operating/
    osss/highway-repository/2009%20Avr.%20Accident%20Cost%20Severity.pdf
    . Site last accessed January 17, 2011.
  27. Kar, K. and Datta, T. (2010). "An Approach to Identify Areas with Potential Risks Associated with Driver Behavioral Issues," ITE Journal.
  28. The National Work Zone Safety Information Clearinghouse. Work Zone Safety Performance Measures Guidance Booklet, Federal Highway Administration, Washington, DC. Obtained from: http://www.workzonesafety.org/fhwa_wz_grant/atssa/atssa_wz_performance_measures. Site last accessed December 10, 2010.
  29. ITS Florida. (2008). Why We Need Road Rangers, Florida Department of Transportation, Tallahassee, FL. Obtained from: http://www.itsflorida.org/attachments/documents/Road_Ranger_Paper_Dec2008.pdf. Site last accessed December 15, 2010.
  30. Transportation Research Board. (2002). National Conference on Traffic Incident Management: A Road Map to the Future, Washington, DC. Obtained from: http://onlinepubs.trb.org/onlinepubs/archive/conferences/TIM/TIMProceedings.pdf.
    Site last accessed December 6, 2010.
  31. U.S. Environmental Protection Agency. (2010). MOVES (Motor Vehicle Emission Simulator), Environmental Protection Agency, Washington, DC. Obtained from: http://www.epa.gov/otaq/models/moves/index.htm. Site lat accessed February 21, 2011.
  32. Federal Highway Administration. Flexibility in Highway Design, U.S. Department of Transportation, Washington, DC. Obtained from: http://www.fhwa.dot.gov/environment/publications/flexibility/. Site last accessed December 5, 2010.
  33. American Association of State Highway and Transportation Officials. (2004). A Policy on Geometric Design of Highways and Streets, AASHTO, Washington, DC.
  34. Puget Sound Regional Council. (2003). Adopted Level of Service Standards for Regionally Significant State Highways, Seattle, WA.
  35. Poister, T.H., Berryman, A.F., Roberts, A., and Xu, J. (2007). 2006 Motorist Survey Pilot Statewide Results, Georgia State University, Atlanta, GA. Obtained from: http://www2.gsu.edu/~padthp/gdot_reports/2006_statewide_motorist_report.pdf. Site last accessed December 22, 2010.
  36. Levinson, D. et al. (2004). Measuring the Equity and Efficiency of Ramp Meters, University of Minnesota, Duluth, MN.
  37. Nee, J. and Hallenbeck, M. (2001). Evaluation of the Service Patrol Program in the Puget Sound Region, Washington State Transportation Center Research Project T1803, Task 37, Seattle, WA. Obtained from: http://depts.washington.edu/trac/bulkdisk/pdf/518.1.pdf. Site last accessed December 24, 2010.
  38. Skabardonis, A., Petty, K., Varaiya, P., and Bertini, R. (1998). Evaluation of the Freeway Service Patrol (FSP) in Los Angeles, California Path Research Report UCB-ITS-PRR-98-31, University of California, Berkeley, Berkeley, CA. Obtained from: http://www.path.berkeley.edu/PATH/Publications/PDF/PRR/98/PRR-98-31.pdf. Site last accessed December 24, 2010.
  39. University of California at Berkeley and California Department of Transportation. (2007). ITS Decision, Sacramento, CA. Obtained from: http://eng.odu.edu/transportationitsdecision/existingitsd/calccit.org_itsdecision/itsdecision/serv_and_tech/Freeway_servpat/freeway_full.html. Site last accessed December 26, 2010.
  40. Courage, K. and Lee, S. (2008). Development of a Central Data Warehouse for Statewide ITS and Transportation Data in Florida, Phase II: Proof of Concept, Report No. FR-51449, University of Florida Transportation Research Center, Gainesville, FL.
  41. Bertini, R.L., Hansen, S., Matthews, S., Rodriguez, A., and Delcambre, A. (2005). Portal: Implementing a New Generation Archived Data User Service in Portland, Oregon, 12th World Congress on ITS, San Francisco, CA.
  42. Hagemann, et al. (2010). ITS Technology Adoption and Observed Market Trends From ITS Deployment Tracking, Research and Innovative Technology Administration, Washington, DC.
  43. Smith, B. and Venkatanarayana, R. (2007). System Operations Data Integrity Assessment, Report No. UVACTS-14-5-129, University of Virginia Center for Transportation Studies, Charlottesville, VA.
  44. I-95 Corridor Coalition. (2010). Validation of INRIX Data: Two Year Summary Report, July 2008 -June 2010, Rockville, MD.
  45. Niver, E., Mouskos, K., Batz, T., and Dwyer, P. (2000). "Evaluation of the TRANSCPM's System for Managing Incidents and Traffic (TRANSMIT)," IEEE Transactions on Intelligent transportation Systems, 1(1).
  46. Balke, K.N., Engelbrecht, R.J., Sunkari, S.R., and Charara, H. (2005). TTI's Hardware-in-the-Loop Traffic Signal Controller Evaluation System, Report No. FHWA/TX-05/5-1752-
    01-1, Texas Transportation Institute, College Station, TX.
  47. Liu, H.X. and Ma, W. (2007). Real-Time Performance Measurement System for Arterial Traffic Signals, Presented at the 87th Annual meeting of the Transportation Research Board, Washington, DC.
  48. Sharma, A., Bullock, D.M., and Bonneson, J. (2007). "Input-Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at a Signalized Intersection," Transportation Research Record 2035, 88-96, Transportation Research Board, Washington, DC.
  49. ASTM E2259-03a. (2011). "Standard Guide for Archiving and Retrieving ITS-Generated Data," Book of Standards Volume 04.03, ASTM International, West Conshohocken, PA.
  50. ASTM E2468-05. (2005). "Standard Practice for Metadata to Support Archived Data Management Systems," Book of Standards Volume 04.03, ASTM International, West Conshohocken, PA.
  51. ASTM E2665-08. (2008). "Standard Specification for Archiving ITS-Generated Traffic Monitoring Data," Book of Standards Volume 04.03, ASTM International, West Conshohocken, PA.
  52. Houston TranStar Consortium. (2009). Houston TranStar 2009 Annual Report, Houston, TX. Obtained from: http://www.houstontranstar.org/about_transtar/docs/Annual_2009_TranStar.pdf. Site last accessed January 14, 2011.
  53. 53.  Michigan Department of Transportation. (2010). Michigan Intelligent Transportation Systems Center, Lansing, MI.
  54. 54.  Naperville Web site. (2007). Ogden Avenue/US Route 34 Traffic Signal System, Naperville, IL. Obtained from: http://www.naperville.il.us/emplibrary/SCAT%20Results2.pdf. Site last accessed December 6, 2010.
  55. Maccubin, R.P. et al. (2003). Intelligent Transportation System Benefits and Costs: 2003 Update, Report No. FHWA-OP-03-075, Mitretek Systems, Inc., Washington, DC.
  56. New York State Department of Transportation. (2004). Intelligent Transportation Systems Scoping Guidance: Project Development Manual-Appendix 6, NYSDOT, Albany, NY. Obtained from: https://www.nysdot.gov/divisions/engineering/design/dqab/dqab-repository/pdmapp6.pdf. Site last accessed December 27, 2010.
  57. Maricopa Association of Governments. (2003). Regional Concept of Transportation Operations: Final Report, Phoenix, AZ.

Bibliography

  1. Bertini, R.L. and El-Geneidy, A.M. Using Advanced Traffic Management System Data to Evaluate Intelligent Transportation System Investments, Portland State University, Portland, OR. Obtained from: http://web.pdx.edu/~bertini/papers/evaluation.pdf. Site last accessed October 22, 2010.
  2. Federal Highway Administration and Federal Transit Administration. (1999). Transportation Management Center Concepts of Operation: Implementation Guide, Washington, DC.
  3. I-95 Corridor Coalition. (2008). Sample Validation of Vehicle Probe Data Using Bluetooth Traffic Monitoring Technology, Rockville, MD. Obtained from: http://www.i95coalition.org/i95/Portals/0/Public_Files/uploaded/Vehicle-Probe/June%2017%20Comparison %2029%20July%202008.pdf. Site last accessed January 7, 2011.
  4. Klein, L.A. (2001). Sensor Technologies and Data Requirements for ITS, Artech House, Boston, MA.
  5. Mirshahi, M. et al. (2007). Active Traffic Management: The Next Step in Congestion Management, Report No. FHWA-PL-07-012, Federal Highway Administration, Washington, DC.
  6. Schoppert, D. et al. (1978). Quality of Flow in Urban Arterials-Phase 1, Vol. 1, Report No. FHWA-RD-78-199, Federal Highway Administration, Washington, DC.
  7. Wright, D.R. and Ishimaru, J.M. (2007) Data Quality Handling Approach of TRACFLOW Software, Technical Report, Report No. WA-RD 679.1, University of Washington, Seattle, WA.

[1] Review the scope of work for this report for additional information.

[2] Although not strictly needed for the detector to link relationships, figure 3 includes DMS in the domain definitions to facilitate the implementation of messaging using a common reference frame.

 

ResearchFHWA
FHWA
United States Department of Transportation - Federal Highway Administration