A Methodology and Case Study: Evaluating the Benefits and Costs of Implementing Automated Traffic Signal Performance
Appendix B. Additional Resources
Performance Measures for Traffic Signal Systems: An Outcome-Oriented Approach: https://docs.lib.purdue.edu/jtrpaffdocs/3/.
This is the first report produced by the pooled fund study. It contains an in-depth description of the methodology for producing a variety of performance measures, including sample calculations and views for example real-world locations. Performance measures for maintenance and operation are presented, along with examples for use of travel time measurements to augment high-resolution data.
Integrating Traffic Signal Performance Measures into Agency Business Practices: https://docs.lib.purdue.edu/jtrpaffdocs/24/.
This is the second report produced by the pooled fund study. This follows on to the first report, providing an extended discussion of concepts for implementation, including recommendations for detector configurations and requirements for data systems. The report goes on to present many applications of performance measures for evaluating maintenance issues for communication and detection, and for evaluating systemwide performance for capacity allocation and progression. Numerous examples are developed from real-world case studies, most of which are aimed at identifying problems at a high level. This complements the lower-level analysis presented in the first report.
Final Report, NCHRP 3-122: Performance-Based Management of Traffic Signal Systems; (Forthcoming).
This report, which should be released in the near future, is intended to provide helpful information for agencies implementing ATSPM. The approach is based on concepts from systems engineering. The book contains an overview of the implementation process; a discussion of performance measure selection using an objectives-based approach; an extensive catalog of existing performance measures, with example uses; a procedure for identifying system needs for implementation; a detailed analysis of a typical implementation procedure including discussion of issues likely to be encountered; and information for integration with agency practices.
Utah Department of Transportation (UDOT) automated traffic signal performance measures (ATSPM) website: https://udottraffic.utah.gov/atspm/.
The UDOT ATSPM website is a public-facing data portal enabling visitors to access performance measures for any signal in Utah, where data are available. Users can select an intersection of interest from a map view, or filter through available metrics. After selecting an intersection, users can then choose which metric to view and what date and time ranges to apply before generating the performance measure. In addition to providing access to many performance measure views, the website also contains links to more than 20 different presentations that have been given in ATSPM workshops, in addition to several reports that detail components of the ATSPM system and a walkthrough of installing the software.
Georgia Department of Transportation (GDOT) ATSPM website: https://traffic.dot.ga.gov/ATSPM/.
GDOT’s ATSPM website is another public-facing data portal where visitors can test the software and view performance measures for any signal on their system.
ATSPM workshop: https://docs.lib.purdue.edu/atspmw/.
This is a collection of presentations and posters presented during the 2-day ATSPM workshop in January 2016. Many of the posters are reprints of posters presented during previous conferences. There are about 30 presentations on a variety of topics, including example implementations by different agencies, methods of leveraging public-private partnerships to build out communication systems, technical details of managing the open-source ATSPM software, and research topics. Some of these contain technical information that has not been compiled elsewhere.
Arterial Performance Measure Tools Project: https://docs.lib.purdue.edu/apmtp/.
This is a series of reports and working papers produced under an FHWA small business innovation research (SBIR) project carried out by Traffax (now TrafficCast) in partnership with Purdue University. The main product of this research is a report that provides example uses of signal performance measures from high-resolution data in combination with measured travel time data. This report is structured as a series of stand-alone modules accompanied by an executive summary. In addition, several other reports are provided that present a variety of topics related to use of high-resolution data and travel time data for assessing performance of signalized arterials. This includes descriptions of data formats as well as code for some specific applications of travel time data.
FHWA Open-Source Application Data Portal page on ATSPM: https://ops.fhwa.dot.gov/atdm/resources/osadp.htm.
This website provides a downloadable installation package for the open-source ATSPM software. The software can be installed on a Microsoft® Windows server and requires a license for Microsoft® SQL Server. Installation instructions are included. A discussion forum is also available on this website.
ATSPM GitHub page: https://github.com/udotdevelopment/ATSPM.
This GitHub repository stores the source code for the open-source ATSPM software, for those users who wish to compile the software themselves or develop or adjust system components.
United States Department of Transportation - Federal Highway Administration