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

Saeed  Samadi; Ali Pajoumand  Rad; Farhad Mohammad  Kazemi; Hamed  Jafarian

doi:10.4236/jtts.2012.23027

Saeed Samadi^*, Ali Pajoumand Rad, Farhad Mohammad Kazemi, Hamed Jafarian

Abstract: 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.

Keywords: ITS; Adaptive Traffic Control; SCATS; Measure of Effectiveness; Delay; Travel Time

Cite this paper: 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.

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