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First published online January 1, 2014

Use of Event-Based Traffic Data in Generating Time–Space Diagrams for Evaluation of Signal Coordination

Abstract

The time–space (TS) diagram is a popular visualization tool in evaluating progression quality for signalized arterials, and most signal optimization software products (such as Synchro) can generate TS diagrams as part of the optimization output. During the signal retiming process, TS diagrams generated by optimization software need to be validated by field observations, and minor changes will be made to signal control parameters if a discrepancy is observed. The validation process is time-consuming and costly. Through the use of high-resolution event-based traffic data collected from existing traffic signal controllers, a practical procedure for constructing TS diagrams for signalized arterials is proposed. The diagrams can be used as a convenient visualization tool in evaluating the performance of traffic signals and in identifying opportunities for fine-tuning in a timely manner. Reasonable agreement was found between the TS diagram and vehicle trajectory data collected from the field. A field experiment was carried out to illustrate how signal parameter changes could be made by intuitive evaluation of the TS diagram. Recommendations and limitations of the proposed approach are discussed.

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References

1. Koonce P., Rodegerdts L., Lee K., Quayle S., Beaird S., Braud C., and Urbanik T. Traffic Signal Timing Manual. Report FHWA-HOP-08–024. FHWA, U.S. Department of Transportation, 2008.
2. Husch D., and Albeck J. Synchro Studio 7 User Guide. Trafficware, Ltd., Sugar Land, Tex., 2006.
3. Wallace C. E., Courage K. G., Hadi M. A., and Gan A. C. TRANSYT-7F User's Guide. Transportation Research Center, University of Florida, Gainesville, 1998.
4. Liu H. X., Zheng J., Hu H., and Sun J. Research Implementation of the SMART SIGNAL System on Trunk Highway (TH) 13. Research Report MN/RC2013-06. Minnesota Department of Transportation, Saint Paul, 2013. http://ntl.bts.gov/lib/47000/47100/47104/MnDOT2013-06_1_pdf. Accessed March 15, 2013.
5. Abbas M., Bullock D., and Head L. Real-Time Offset Transitioning Algorithm for Coordinating Traffic Signals. In Transportation Research Record: Journal of the Transportation Research Board, No. 1748, TRB, National Research Council, Washington, D.C., 2001, pp. 26–39.
6. Gettman D., Shelby S. G., Head L., Bullock D. M., and Soyke N. Data-Driven Algorithms for Real-Time Adaptive Tuning of Offsets in Coordinated Traffic Signal Systems. In Transportation Research Record: Journal of the Transportation Research Board, No. 2035, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 1–9.
7. Wu X., and Liu H. X. A Shockwave Profile Model for Traffic Flow on Congested Urban Arterials. Transportation Research Part B, Vol. 45, No. 10, 2011, pp. 1768–1786.
8. Liu H., Wu X., Ma W., and Hu H. Real-Time Queue Length Estimation for Congested Signalized Intersections. Transportation Research Part C, Vol. 17, No. 4, 2009, pp. 412–427.
9. Wu X., Liu H. X., and Gettman D. Identification of Oversaturated Intersections Using High-Resolution Traffic Signal Data. Transportation Research Part C, Vol. 18, No. 4, 2010, pp. 626–638.
10. Day C. M., Sturdevant J. R., and Bullock D. M. Outcome-Oriented Performance Measures for Management of Signalized Arterial Capacity. In Transportation Research Record: Journal of the Transportation Research Board, No. 2192, Transportation Research Board of the National Academies, Washington, D.C., 2010, pp. 24–36.
11. Day C. M., and Bullock D. M. Computational Efficiency of Alternative Algorithms for Arterial Offset Optimization. In Transportation Research Record: Journal of the Transportation Research Board, No. 2259, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 37–47.
12. Zheng J., Liu H. X., Misgen S., and Yu G. Performance Diagnosis Tool for Arterial Traffic Signals. In Transportation Research Record: Journal of the Transportation Research Board, No. 2356, Transportation Research Board of the National Academies, Washington, D.C., 2013, pp. 109–116.
13. Robertson D. I., and Bretherton R. D. Optimizing Networks of Traffic Signals in Real Time: The SCOOT method. IEEE Transactions on Vehicular Technology, Vol. 40, No. 1, 1991, pp. 11–15.
14. Newell G. F. A Simplified Car-Following Theory: A Lower Order Model. Transportation Research Part B, Vol. 36, No. 3, 2002, pp. 195–205.
15. Gartner N. H., and Little J. D. C. The Generalized Combination Method for Area Traffic Control. Massachusetts Institute of Technology, Cambridge, 1973.
16. Little J. D. The Synchronization of Traffic Signals by Mixed-Integer Linear Programming. Operations Research, Vol. 14, No. 4, 1966, pp. 568–594.
17. Liu H. X., and Ma W. A Virtual Vehicle Probe Model for Time-Dependent Travel Time Estimation on Signalized Arterials. Transportation Research Part C, Vol. 17, No. 1, 2009, pp. 11–26.

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Article first published online: January 1, 2014
Issue published: January 2014

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© 2014 National Academy of Sciences.
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Authors

Affiliations

Jianfeng Zheng
Department of Civil Engineering, University of Minnesota, Twin Cities, 500 Pillsbury Drive SE, Minneapolis, MN 55455.
Henry X. Liu
Department of Civil Engineering, University of Minnesota, Twin Cities, 500 Pillsbury Drive SE, Minneapolis, MN 55455.
Steve Misgen
Minnesota Department of Transportation, 1500 West County Road B-2, Roseville, MN 55113.
Kevin Schwartz
Minnesota Department of Transportation, 1500 West County Road B-2, Roseville, MN 55113.
Bob Green
Alliant Engineering, Inc., 233 Park Avenue South, Suite 300, Minneapolis, MN 55415.
Mike Anderson
Alliant Engineering, Inc., 233 Park Avenue South, Suite 300, Minneapolis, MN 55415.

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