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First published online January 1, 2012

Long-Term Benefits of Adaptive Traffic Control under Varying Traffic Flows during Weekday Peak Hours

Abstract

When adaptive traffic control systems (ATCSs) are evaluated, traffic signal engineers and practitioners often collect data for a few weeks before and after installation. Benefits are then estimated on the basis of this limited data set. The evaluation of an ATCS with microsimulation requires considerable collection of field data. However, once an ATCS is installed, an abundance of data is collected and stored by the ATCS itself. These data (mostly traffic volumes) can be used to recreate field variability of traffic conditions in a model and perform long-term ATCS evaluation studies. This paper reports on the projected long-term benefits of deploying an ATCS. Field traffic data were statistically processed and modeled in microsimulation. The Sydney coordinated adaptive traffic system (SCATS) and two time-of-day (TOD) plans were exposed to variability of field traffic flows modeled in VISSIM. A simple calculation was then performed to extrapolate results to a period of 10 years. Findings showed that SCATS outperformed existing TOD signal-timing plans by about 20% and was better than the best TOD plan that could be theoretically developed on the basis of collection of long-term data. Results from the study revealed that short-term analyses often obscured the true benefits of deploying an ATCS. A computation of the monetary value of achieved benefits showed that limited operational benefits reported in this paper, when projected over the long term, would exceed overall installation costs for SCATS in Park City, Utah. These benefits are expected to increase further with inclusion of the analysis periods that were not part of this study.

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References

1. Traffic Signal Timing Manual. FHWA-HOP-08-024. FHWA, U.S. Department of Transportation. www.signaltiming.com/The_Signal_Timing_Manual_08082008.pdf. Accessed July 10, 2010.
2. Stevanovic A. Adaptive Traffic Control Systems: Domestic and Foreign State of Practice. NCHRP Project 20-5: Synthesis Topic 40-03. Transportation Research Board of the National Academies, Washington, D.C., 2010.
3. Luk J.Y.K., Sims A. G., and Lowrie P. R. SCATS—Application and Field Comparison with a TRANSYT Optimized Fixed Time System. Presented at International Conference on Road Traffic Signaling, Institution of Electrical Engineers, London, 1982.
4. Wolshon B., and Taylor W.C. Impact of Adaptive Signal Control on Major and Minor Approach Delay. Journal of Transportation Engineering, Vol. 125, No. 1, 1999, pp. 30–38.
5. Lappin J.E., Petrella M., Bricka S., and Hunter M.P. Driver Satisfaction with an Urban Arterial After Installation of an Adaptive Signal System. Presented at 85th Annual meeting of the Transportation Research Board, Washington, D.C., 2006.
6. Monsere C.M., Peters J., Huan L., Mahmud M., and Boice S. Field-Based Evaluation of Corridor Performance After Deployment of an Adaptive Signal Control System in Gresham, Oregon. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
7. Stevanovic A., Kergaye C., and Martin P.T. Field Evaluation of SCATS Traffic Control in Park City, UT. Presented at Intelligent Transportation Systems World Congress, New York, 2008.
8. Kergaye C., Stevanovic A. Z., and Martin P. T. Comparison of Before–After Versus On–Off Adaptive Traffic Control Evaluations: Park City, Utah, Case Study. In Transportation Research Record: Journal of the Transportation Research Board, No. 2128, Transportation Research Board of the National Academies, Washington, D.C., 2009, pp. 192–201.
9. Fehon K.J., Moore S. E., and Negus B. J. Validation of SCATSIM. Proc., International Conference on Road Traffic Control, Institution of Electrical Engineers, London, 1986, pp. 15–18.
10. Nguyen V. N. Evaluation of SCATSIM-RTA Adaptive Traffic Network Simulation Model. In Transportation Research Record 1566, TRB, National Research Council, Washington, D.C., 1996, pp. 8–19.
11. Wilson C.J., Millar G., and Tudge R. Microsimulation Evaluation of the Benefits of SCATS Coordinated Traffic Control Signals. Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D.C., 2006.
12. Kergaye C., Stevanovic A., and Martin P.T. An Evaluation of SCOOT and SCATS Through Microsimulation. Presented at International Conference on Application of Advanced Technologies in Transportation, Transportation and Development Institute, Athens, Greece, 2008.
13. Stevanovic A., Martin P. T., and Stevanovic J. VISSIM-Based Genetic Algorithm Optimization of Signal Timings. In Transportation Research Record: Journal of the Transportation Research Board, No. 2035, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 59–68.
14. Kergaye C., Stevanovic A. Z., and Martin P. T. Comparative Evaluation of Adaptive Traffic Control System Assessments Through Field and Microsimulation. Journal of Intelligent Transportation Systems, Vol. 14, No. 2, 2010, pp. 109–114.
15. Stevanovic A.Z., Kergaye C., and Stevanovic J. Evaluating Robustness of Signal Timings for Varying Traffic Flows. In Transportation Research Record: Journal of the Transportation Research Board, No. 2259, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 141–150.
16. Lowrie P. R. The Sydney Coordinated Adaptive Traffic System—Principles, Methodology, Algorithms. Proc., International Conference on Road Traffic Signaling, Institution of Electrical Engineers, London, 1982, pp. 67–70.
17. Lowrie P. R. SCATS—A Traffic Responsive Method of Controlling Urban Traffic. Roads and Traffic Authority, New South Wales, Australia, 1992.
18. Schrank D., Lomax T., and Turner S. 2010 Annual Urban Mobility Report. Texas Transportation Institute, Texas A&M University System, College Station, 2010. http://mobility.tamu.edu/ums/report/. Accessed July 2011.

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Article first published online: January 1, 2012
Issue published: January 2012

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© 2012 National Academy of Sciences.
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Authors

Affiliations

Aleksandar Stevanovic
Department of Civil, Environmental, and Geomatics Engineering, Florida Atlantic University, Building 36, Room 225, 777 Glades Road, Boca Raton, FL 33431.
Cameron Kergaye
Utah Department of Transportation, P.O. Box 148410, Salt Lake City, Utah 84114-8410.
Jelka Stevanovic
2145 Northwest 3rd Court, Boca Raton, FL 33431.

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