Day, C. M., D. M. Bullock, H. Li, S. M. Remias, A. M. Hainen, R. S. Freije, A. L. Stevens, J. R. Sturdevant, and T. M. Brennan. Performance Measures for Traffic Signal Systems: An Outcome-Oriented Approach. Purdue University, West Lafayette, Indiana, 2014. https://doi.org/10.5703/1288284315333
Date of this Version
performance measures, transportation engineering, traffic engineering, traffic control, traffic signals, traffic signal timing, traffic signal coordination
This monograph is a synthesis of research carried out on traffic signal performance measures based on high-resolution controller event data, assembled into a methodology for performance evaluation of traffic signal systems. High-resolution data consist of a log of discrete events such as changes in detector and signal phase states. A discussion is provided on the collection and management of the signal event data and on the necessary infrastructure to collect these data. A portfolio of performance measures is then presented, focusing on several different topics under the umbrella of traffic signal systems operation. System maintenance and asset management is one focus. Another focus is signal operations, considered from the perspectives of vehicle capacity allocation and vehicle progression. Performance measures are also presented for nonvehicle modes, including pedestrians, and modes that require signal preemption and priority features. Finally, the use of travel time data is demonstrated for evaluating system operations and assessing the impact of signal retiming activities.
This is the first of two reports for Pooled Fund Study (TPF-5(258)). You can access the author-accepted manuscript version of the newest report here:
Day, C. M., Bullock, D. M., Li, H., Lavrenz, S., Smith, W. B., & Sturdevant, J. R. (2015). Integrating traffic signal performance measures into agency business processes. West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284316063