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21st Century Operations Using 21st Century Technologies

Measures of Effectiveness and Validation Guidance for Adaptive Signal Control Technologies

Chapter 7. References

Caltrans (2010), Bluetooth Travel Time

ITE (2010), Highway Capacity Manual, Washington, D.C.

Fehon et al. (2011), Model Systems Engineering documents for Adaptive Signal Control Technology Systems, Draft Guidance, FHWA-HOP-11-027, Washington, D.C.

Fehon, K., and Peters, J., Adaptive Traffic Signals, Comparison and Case Studies, paper presented at the ITE Western District Annual Meeting in San Francisco, California, 2010.

Feng, et al., 2012. Vehicle probe based real-time traffic monitoring on urban roadway networks. CTS 12-35, University of Minnesota ITS Institute.

Hunter, M., S. Wu, and H.K. Kim, Evaluation of Adaptive Traffic Signal Control: Case Study of Cobb County SCATS, ITS 17th World Congress, Busan, Korea, 2010, October 25-29, 2010.

Liu, H., Wu, X., Ma, W., and Hu, H. (2009a), Real-Time Queue Length Estimation for Congested Signalized Intersections, Transportation Research Part C,17(4), 412-427.

NCHRP 03-79(4) (2005), Measuring and Predicting the Performance of Automobile Traffic on Urban Streets, Interim Report, TRB.

NCHRP 403 (2010), Adaptive Traffic Control Systems: Domestic and Foreign State of the Practice, Transportation Research Board, Washington, D.C.

MnDOT (2000), Integrated Corridor Traffic Management Final Report, MnDOT publication 12863, Minneapolis, Minnesota.

Pesti, G., Byrd, P.S., Kruse, M., and McCoy, P.T., Demonstration of State-of-the-Art Integrated Traffic Management System: Evaluation of the SPOT Adaptive Traffic Control System, University of Nebraska-Lincoln, Report No. 97068, May 1999.

Sharma, A., D.M. Bullock, and J. Bonneson, Input-Output and Hybrid Techniques for Real-Time Prediction of Delay and Maximum Queue Length at a Signalized Intersection, Transportation Research Record No. 2035, TRB, National Research Council, Washington, D.C., pp. 88-96, 2007.

Smaglik, E., Bullock, D., Gettman, D., Day, C., Premachandra, H., Comparison of Alternative Real-Time Performance Measures for Measuring Signal Phase Utilization and Identifying Oversaturation, TRB Paper 11-0931, presented at the 89th Annual Meeting of the Transportation Research Board, Washington, D.C., 2011.

Smaglik, E J., Bullock, D. M. and Sharma, A. (2007), Pilot Study on Real-Time Calculation of Arrival Type for Assessment of Arterial Performance, Journal of Transportation Engineering, July, pp. 415-422.

Tarnoff, P. (2009a), Blue Sky Thinking in Thinking Highways, Vol. 4 No. 1.

Tarnoff, P. (2009b), Made to Measure in Traffic Technology International, April/May 2009.

Wasson et al. (2008), Evaluation of Special Event Traffic Management: The Brickyard 400 Case Study, 2009 TRB Annual Meeting compendium of papers.

Wu, X. et al., 2010. Identification of oversaturated Intersections using high-resolution traffic signal data. Transportation Research Part C, 18 (4): 626-638.

Zheng, J. et al., 2012. A performance diagnosis tool for arterial traffic signal systems. 2013 TRB Annual Meeting. Washington, DC.

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