Performance Evaluation of Intelligent Adaptive Traffic Control Systems: A Case Study


Mashhad, the second largest city in Iran, like many other big cities, is faced with increasing traffic congestion owing to rapidly increasing population and annual pilgrimage. In recent years, Mashhad traffic and transportation authorities have been challenged with how to manage the increasing congestion with limited budgets for major roadway construction projects. Mashhad has recognized the need to improve the existing system capacity to get the most out of their cur- rent transportation system infrastructures. Since most of the delay times occur at signalized intersections, using an intelligent control system with proper capabilities to overcome the growing traffic requirements is recommended. Following comprehensive studies carried out with the aim of developing the Mashhad traffic control center, the SCATS adaptive traffic control system was introduced as the selected intelligent control system for integrating signalized intersections. The first intersection was equipped with this system in 2005. This paper describes the results of a field evaluation in which fixed actuated-coordinated signal timings are compared with those dynamically computed by SCATS. The ef- fects of this system on optimizing fuel consumption as well as reducing air pollutants are fully discussed. It is found that SCATS consistently reduced travel times and the average delay per stopped or approaching vehicle. The positive impact of adaptive traffic control systems on fuel consumption and air pollution are also highlighted.

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S. Samadi, A. Rad, F. Kazemi and H. Jafarian, "Performance Evaluation of Intelligent Adaptive Traffic Control Systems: A Case Study," Journal of Transportation Technologies, Vol. 2 No. 3, 2012, pp. 248-259. doi: 10.4236/jtts.2012.23027.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] L. Figueiredo, et al., “Towards the Development of Intelligent Transportation Systems,” IEEE Proceedings of Intelligent Transportation Systems, Oakland, 25-29 August 2001, pp. 1206-1211.
[2] N. Gartner, et al., “Development of Advanced Traffic Signal Control Strategies for Intelligent Transportation Systems: Multilevel Design,” Transportation Research Record, No 1494, 1995, pp. 98-105.
[3] P. R. Lowrie, “SCATS, Sydney Co-Ordinated Adaptive Traffic System: A Traffic Responsive Method of Controlling Urban Traffic,” Roads and Traffic Authority NSW, Darlinghurst, 1990.
[4] R. Akcelik, M. Besly and E. Chung, “An Evolution of SCATS Master Isolated Control,” Proceedings of the 19th ARRB Transport Research Conference (Transport 98), pp. 1-24.
[5] C. J. Khisty, “Transportation Engineering: An Introduction,” 2nd editon, Prentice-Hall, Upper Saddle River, 1998.
[7] R. Ghaman, D. Gettman, L. Head and P. B. Mirchandani, “Adaptive Control Software for Distributed Systems,” 28th Annual Conference of the Industrial Electronics Society, 5-8 November 2002, pp. 3103-3106.
[8] H. D. Robertson and J. E. Hummer, “Manual of Transportation Engineering Studies,” Prentice-Hall, Upper Saddle River, 1994.
[9] K. Fehon and R. Chong, “Adaptive Traffic Signal System for Cupertino California,” 4th Asia-Pacific Transportation Development Conference, April 18-20, 2003.
[10] F. Zhu, G. Li, Zh. Li, C. Chen and D. Wen, “A Case Study of Evaluating Traffic Signal Control Systems Using Computational Experiments,” IEEE Transaction on Intelligent Transportation Systems, Vol. 12, No. 4, 2011, pp. 1220-1226. doi:10.1109/TITS.2011.2157691
[11] F. Hu, et al., “Field Evaluation of SCATS Control System in Las Vegas,” Proceedings of the 11th International Conference of Chinese Transportation Professionals, 2011. doi:10.1061/41186(421)397
[12] M. Kergaye, et al., “Comparison of before-after versus off-on Adaptive Traffic Control Evaluations: Park City,” Case Study, 2006.
[13] “MUTS: Manual on Uniform Traffic Studies,” 2000.
[14] P. F. Everall, “The Effects of Road and Traffic Conditions on Fuel Consumption,” Road Research Laboratory, 1983.

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