Test a Queue Detection System for Special Events in Nevada


Queue detection systems have been used in traffic management in work zones and have also been recommended for traffic control for special events like sports and conventions. However, they have not been tested in the field. This paper presents the results of tests for a queue detection system at two special events in Las Vegas, Nevada. The system consisted of two vision detectors, radio frequency communications and one changeable message sign. Two aspects of the system were evaluated: the effectiveness of the system in reducing speeds and the cost and effectiveness of its deployment. In the tests, traffic data such as queue length and vehicle operating speeds were collected and analyzed to see whether motorists respond congestion related message on the changeable message sign when they did not perceive the congestion. By this approach, the motorists’ true responses to the system were identified. The results indicated that motorists did make positive responses to the messages provided by the system. However, it was found that the system may not be cost-effective because significant costs would be incurred in purchasing, installation and maintenance of the system. Recommendations were provided to utilize existing message signs and detectors to provide the same information to motorists as a queue detection system does.

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H. Teng, X. Xu, V. Muthukumar and A. Gibby, "Test a Queue Detection System for Special Events in Nevada," Journal of Transportation Technologies, Vol. 4 No. 1, 2014, pp. 126-139. doi: 10.4236/jtts.2014.41013.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] S. C. Tignor, et al., “Innovative Traffic Control Technology and Practice in Europe,” 1999.
[2] Indiana Department of Transportation Press Release, “Clark County I-65 Exit 4 Solution Proves Successful,” 2000.
[3] King County Department of Transportation Press Release, “New Traffic Warning System Improves Safety Near Elementary School,” 2002.
[4] P. B.Wiles, S. A. Cooner, C. H. Walters and E. J. Pultorak, “Advance Warning of Stopped Traffic on Freeways: Current Practices and Field Studies of Queue Propagation Speeds,” FHWA/TX-03/4413-1, 2002.
[5] FOCUS, Federal Highway Administration, “Queue Length Detector Reduces Risk of Rear-End Accidents in Work Zones,” 1998.
[6] A. MacCarley, “Evaluation of Caltrans District 10 Automated Warning System: Year Two Progress Report,” California PATH Research Report No. UCB-ITS-PRR-99-28, 1999.
[7] P. D. Pant, “Implementation and Testing of the Travel Time Prediction System (TIPS),” Final Report Prepared in Cooperation with the Ohio Department of Transportation and The US Department of Transportation, Federal Highway Administration, 2001.
[8] H. T. Zwahlen, “Evaluation of a Real-Time Travel Time Prediction System in a Freeway Construction Work Zone,” Final Report prepared for the Ohio Department of Transportation, 2001.
[9] A. J. Horowitz, I. Weisser and T. Notbohm, “Diversion from a Rural Work Zone Owing to a Traffic-Responsive Variable Message Signage System,” TRB 2003 Annual Meeting CD-ROM, Washington DC, 2003.
[10] J. G. Pigman and K. R. Agent. “Evaluation of Traffic Information and Prediction System as Work Zone Traffic Control,” Research Report to Kentucky Transportation Research Center, 2004.
[11] K. K. Dixon, “Evaluating Speed Reduction Strategies for Highway Work Zones (Smart Work Zones),” Final Report, Prepared for Georgia Department of Transportation Prepared by Georgia Transportation Institute Georgia Institute of Technology, 2005.
[12] P. T. McCoy and G. Pesti, “Effectiveness of Condition-Responsive Advisory Speed Messages in Rural Freeway Work Zones,” Transportation Research Record, Vol. 1794, 2002, pp. 11-18.
[13] L. H. Tudor, A. Meadors and R. Plant II, “Deployment of Smart Work Zone Technology in Arkansas,” Transportation Research Record, Vol. 1824, 2003, pp. 3-14.
[14] L. Chu, H.-K. Kim, Y. Chung and W. Recker, “Evaluation of Effectiveness of Automated Workzone Information Systems,” Transportation Research Record, Vol. 1911, 2005, pp. 73-81.
[15] T. King, C. Sun and M. Virkler, “Intellizone, Report to Widwest Smart Work Zone Initiative,” FHWA Pool Fund Study, 2003.
[16] A. J. Horowitz and T. Notbohm, “Evaluation of Intellizone: A System for Providing Speed Advisories to Drivers Entering Work Zones,” Report to Widwest Smart Work Zone Initiative, FHWA Pool Fund Study, 2003.
[17] G. Pesti, “D-25 Speed Advisory System,” Report to Widwest Smart Work Zone Initiative, FHWA Pool Fund Study, 2002.
[18] G. Pesti, P. T. McCoy, M. D. Meisinger and V. Kannan, “Work Zone Speed Advisory System, Report to Widwest Smart Work Zone Initiative,” FHWA Pool Fund Study, 2002.
[19] J. Stuster, Z. Coffman and D. Warren, “Synthesis of Safety Research Related to Speed and Speed Management,” Publication No. FHWA-RD-98-154, 1998.
[20] K. C. Sinha and S. Labi, “Transportation Decision Making: Principles of Project Evaluation and Programming,” John Wiley & Sons Inc., Hoboken, 2007.

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