Fundamental Insight into Signal Plan Transition Methods
Publication: Journal of Transportation Engineering
Volume 137, Issue 10
Abstract
This paper describes, in detail, the concrete operational mechanisms of the Corridor Simulation (CORSIM)–embedded signal transition algorithms. Through detailed analysis of these transition algorithms, this study found that controller configurations, such as minimum green time for main street and recall mode, are important factors affecting plan transition performance. Specifically, this study demonstrated that even when the same transition method is used, the operational result can vary significantly according to these controller configurations. A simulation study was performed to comparatively evaluate delay performance of plan transition algorithms under two operational situations, namely, transition into peak and out of peak traffic demands. Although the shortway method showed the best performance for most simulation scenarios, the three-cycle and immediate methods could be included in the best-performing group in the case of transition into peak through an adjustment of the main street minimum green time. By contrast, these pretimed transition algorithms experienced markedly higher side-street delay during the transition out of peak demand because of the relatively long main street green time required by these transition methods.
Get full access to this article
View all available purchase options and get full access to this article.
References
Cohen, D., Head, L., and Shelby, S. (2007). “Performance analysis of coordinated traffic signals during transition.” Transportation Research Record: The Journal of the Transportation Research Board, No. 2035, Transportation Research Board, Washington, DC.
Corridor Simulation (CORSIM) 6.0 [Computer software]. Colorado Springs, CO, ITT Industries, Inc.
ITT Industries, Inc. (2006). CORSIM user’s guide version 6.0. Federal Highway Administration, Washington, DC.
ITT Industries, Inc. (2007). Traffic analysis toolbox volume IV: Guidelines for applying CORSIM micro-simulation modeling software. Federal Highway Administration, Washington, DC.
Lee, J., and Williams, B. (2009). “Development and testing of a constrained optimization model for traffic signal plan transition.” Transportation Research Board 2009 Annual Meeting (CD-ROM), Transportation Research Board, Washington, DC.
Lieberman, E., and Wicks, D. (1974). “A rapid signal transition algorithm.” Transportation Research Record: The Journal of the Transportation Research Board, No. 509, Transportation Research Board, Washington, DC.
Mussa, R., Selekwa, M., and Chiteshe, A. (2003). “Development of optimal timing plans’ transition procedure.” Transportation Research Board 2003 Annual Meeting (CD-ROM), Transportation Research Board, Washington, DC.
Nelson, E., and Bullock, D. (2000). “Impact evaluation of emergency vehicle preemption on signalized corridor operation.” Transportation Research Record: The Journal of the Transportation Research Board, No. 1727, Transportation Research Board, Washington, DC.
Ross, P. (1977). “An evaluation of network signal timing transition algorithms.” Transp. Engrg. J., 47(9), 17–21.
Shelby, S., Bullock, D., and Gettman, D. (2006). “Transition methods in traffic signal control.” Transportation Research Record: The Journal of the Transportation Research Board, No. 1978, Transportation Research Board, Washington, DC.
Yun, I., Best, M., and Park, B. (2008). “Traffic controller performance during time-of-day transition at coordinated actuated signal systems.” Transportation Research Record: The Journal of the Transportation Research Board, No. 2080, Transportation Research Board, Washington, DC.
Information & Authors
Information
Published In
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Jun 7, 2010
Accepted: Feb 17, 2011
Published online: Feb 19, 2011
Published in print: Oct 1, 2011
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.