README for Traffic Signal Performance Measures and Analysis [supporting dataset] Strengthening Mobility and Revolutionizing Transportation (SMART) Program, U.S. Department of Transportation (USDOT) 2025-05-09 ---------------------------------------------------------------- LINKS TO DATASET ---------------------------------------------------------------- A. Dataset archive link: https://doi.org/10.21949/442k-1z92 B. Data Management Plan (DMP) archive link: https://doi.org/10.48321/D1CBFB2f4e ---------------------------------------------------------------- SUMMARY OF DATASET ---------------------------------------------------------------- This dataset contains corridor and intersection performance measures data and analysis from four different data sources. The dataset also includes blank evaluation forms used to evaluate different scenarios. ---------------------------------------------------------------- TABLE OF CONTENTS ---------------------------------------------------------------- A. General Information B. Sharing/Access & Policies Information C. Data and Related File Overview D. Methodological Information E. Update Log ---------------------------------------------------------------- A. GENERAL INFORMATION ---------------------------------------------------------------- 0. Title of Dataset: Traffic Signal Performance Measures and Analysis 1. Description of Dataset: This dataset contains corridor and intersection performance measures data and analysis from four different data sources. The dataset also includes blank evaluation forms used to evaluate different scenarios. 2. Dataset archive link: https://doi.org/10.21949/442k-1z92 3. Authorship Information: Principal Data Creator or Data Manager Contact Information Institution: Mid-America Regional Council - Operation Green Light (ROR ID: https://ror.org/0233zkc29) Address: 600 Broadway, Suite 200, Kansas City, MO 64105-1659 Email: rwebb@MARC.org Associate Data Creator or Data Manager Contact Information Name: Michael Hare ORCiD: https://orcid.org/0009-0004-4654-2515 Institution: Merge Midwest Engineering, LLC Address: 2668 W. Catalpa Street, Olathe, KS 66061 Email: mhare@mergemidwest.com Associate Data Creator or Data Manager Contact Information Name: Alexandra Kondyli ORCiD: https://orcid.org/0000-0002-3462-0000 Institution: The University of Kansas Address: 1530 W. 15th St., Lawrence, KS 66045 Email: akondyli@ku.edu Associate Data Creator or Data Manager Contact Information Name: Blake Hansen ORCiD: https://orcid.org/0009-0008-5854-9027 Institution: Olsson Address: 1301 Burlington St, North Kansas City, MO 64116 Email: bghansen@olsson.com> Organizational Contact Information Name: Ray Webb Institution: Mid-America Regional Council - Operation Green Light (ROR ID: https://ror.org/0233zkc29) Address: 600 Broadway, Suite 200, Kansas City, MO 64105-1659 Email: rwebb@MARC.org 4. Date of data collection and update interval: 2025-02-25 through 2025-03-14 5. Geographic location of data collection: Kansas City Region (http://sws.geonames.org/4273837/) (http://sws.geonames.org/4393217/) 6. Information about funding sources that supported the collection of the data: This project was funded through the US Department of Transportation's SMART Grants Program and produced by the Mid-America Regional Council. The contract number is: 69A3552341010. ---------------------------------------------------------------- B. SHARING/ACCESS & POLICIES INFORMATION ---------------------------------------------------------------- 0. Recommended citation for the data: XX Hare, Michael, Webb, Ray, Kondyli, Alexandra, Hansen, Blake, and Mid-America Regional Council Operation Green Light (2025). "Traffic Signal Performance Measures and Analysis [supporting dataset]". Strengthening Mobility and Revolutionizing Transportation (SMART) Program, https://doi.org/10.21949/442k-1z92 1. Licenses/restrictions placed on the data: This dataset has been released to the Public Domain (https://creativecommons.org/publicdomain/zero/1.0/). 2. Was data derived from another source?: Yes. 3. This dataset and its documentation was created and shared to meet the requirements enumerated in the U.S. Department of Transportation's "Plan to Increase Public Access to the Results of Federally-Funded Scientific Research" Version 1.1 << https://www.transportation.gov/sites/dot.gov/files/docs/Official%20DOT%20Public%20Access%20Plan%20ver%201.1.pdf >> and guidelines suggested by the DOT Public Access website << https://ntl.bts.gov/publicaccess/ >>, in effect and current as of April 10, 2019. ---------------------------------------------------------------- C. DATA & RELATED FILE OVERVIEW ---------------------------------------------------------------- 1. File List for the SourceA.zip collection A. Filename: roadway name_section - 11032024 - 01312025 - Time of Day - Control Delay Short description: Control delay data for the specified section of the roadway from November 3, 2024 to January 31, 2025. B. Filename: roadway name_section - 11032024 - 01312025 - Time of Day - Travel Time Short description: Travel time data for the specified section of the roadway from November 3, 2024 to January 31, 2025. C. Filename: roadway name_section - 11032024 - 01312025 - Time of Day - Hourly Volume Short description: Hourly volume data for the specified section of the roadway from November 3, 2024 to January 31, 2025. D. Filename: roadway name_section - 11032024 - 01312025 - Time of Day - Queue Length Short description: Queue length data for the specified section of the roadway from November 3, 2024 to January 31, 2025. E. Filename: roadway name_section - 11032024 - 01312025 - Time of Day - Total CO2 Emission Short description: CO2 emissions data for the specified section of the roadway from November 3, 2024 to January 31, 2025. F. Filename: roadway name_section - 11032024 - 01312025 - Time of Day - Total Fuel Consumption Short description: Fuel consumption data for the specified section of the roadway from November 3, 2024 to January 31, 2025. G. Filename: roadway name_section - 11032024 - 01312025 - Time of Day - Total NO2 Emission Short description: NO2 emissions data for the specified section of the roadway from November 3, 2024 to January 31, 2025. 2. File List for the SourceB.zip collection A. Filename: direction_roadway name and section Short description: performance metric data for the specified section of the roadway from November 1, 2024 to February 1, 2025. B. Filename: roadway & roadway_Movements Short description: Intersection performance metrics data broken down by intersection movement from January 1, 2025 to January 31, 2025 3. File List for the SourceC.zip collection A. Filename: corridor name_route_performance_2024-02-01_2025-01-31 Short description: Average route performance measure values along the specified corridor from February 1, 2024 to January 31, 2025. B. Filename: Street Name & Street Name_approach Short description: Average weekday intersection approach performance measure values at the specified intersection from February 1, 2024 to January 31, 2025. C. Filename: Street Name & Street Name_intersection Short description: Average weekday intersection performance measure values at the specified intersection from February 1, 2024 to January 31, 2025. D. Filename: Street Name & Street Name_movement Short description: Average weekday intersection movement performance measure values at the specified intersection from February 1, 2024 to January 31, 2025. 4. File List for the SourceD.zip collection A. Filename: corridor section ID_2024_NP_Roadway name_section label_network_performance_seg_metrics Short description: 2024 average corridor performance metrics for each section of the roadway broken down by roadway segments into hourly intervals. B. Filename: corridor section ID_2024_NP_Roadway name_section label_network_performance_seg_monthly_metrics Short description: Monthly average corridor performance metrics for each section of the roadway broken down by roadway segments into hourly intervals for all months in 2024. C. Filename: corridor section ID_2024_NP_Roadway name_section label_network_performance_seg_monthly_prediction_interval Short description: Monthly predicted average daily traffic volumes for each section of the roadway broken down by roadway segments for all months in 2024. D. Filename: corridor section ID_2024_NP_Roadway name_section label_network_performance_seg_prediction_interval Short description: Predicted average daily traffic volumes for each section of the roadway broken down by roadway segments. 5. Filename: Travel time comparison.xlsx file Short description: Travel time data collected from four vendors on US71 corridor during the period 8/1/2024-8/31/2024 for 7:00-9:00AM and 4:00-6:00PM peak hours. Vendor B did not provide any travel time data. 6. Filename: Volume Data (Direct comparison without ground truth data).xlsx file Short description: Turning volume data collected from four vendors at three intersections (7th St and Kansas Ave, SMP & Belinder, N. Oak Trafficway & Englewood) during the period 9/1/2023-9/30/2023 for 7:00-9:00AM and 4:00-6:00PM peak hours.Calculation of average turning volume data by approach. 7. Filename: Volume Data (comparison with ground truth data).xlsx file Short description: Turning volume data collected from four vendors at five intersections (Shawney Mission Parkway & Stateline, M-9 & 32nd St, SMP & Belinder, 24 Highway & Wallace, 24 Highway & Blue Mills) from 7AM to 7PM on specified days where ground truth data were available. Vendor A and B provide volume estimates and Vendor C and D provide probe volumes. 8. Filename: Scenario List.xlsx Short description: List of scenarios that were evaluated across all four vendors. 9. Filename: Evaluation Forms.zip file Short description: Blank evaluation forms for each scenario. 10. Filename: RFP.zip file Short description: Request for proposal documents and attachments used. 11. Filename: 2025-Jan OGL SMART Grant Final Implementation Report.pdf file Short description: Implementation report. 12. Filename: 2023-Dec OGL SMART Grant Evaluation Plan.pdf file Short description: Evaluation plan. ---------------------------------------------------------------- D. METHODOLOGICAL INFORMATION ---------------------------------------------------------------- 1. Description of methods used for collection/generation/analysis of data: Download from vendor websites. For the volume comparison analysis (without ground truth data), volume data were compared with each other to detect differences. For volume data comparison with ground truth data for Vendors A and B, the % error from the ground truth data was calculated as Error %= (Ground Truth - Vendor's Volume)/Ground Truth * 100. For volume data comparison with ground truth data for Vendors C and D, the penetration rate % was calculated as Penetration Rate % = Vendor's Probe Volume/Ground Truth)*100. 2. Instrument- or software-specific information needed to interpret the data: The .xlsx files are Microsoft Excel files, which can be opened with Excel, and other free available spreadsheet software, such as OpenRefine. The Portable Document Format (PDF) file format was developed by Adobe Systems and represents two-dimensional documents in a device-independent and resolution-independent format. There are PDF readers available on many platforms, such as Xpdf, Foxit, and Adobe's own Adobe Acrobat Reader. PDF readers/viewers or online services for basic functions are generally free (for more information on .pdf files and software, please visit https://www.file-extensions.org/pdf-file-extension). The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. The most common software used to open .csv files are Microsoft Excel and RecordEditor, (for more information on .csv files and software, please visit https://www.file-extensions.org/csv-file-extension). ---------------------------------------------------------------- E. UPDATE LOG ---------------------------------------------------------------- This README file was originally created on 2025-05-09 by Michael Hare (0009-0004-4654-2515) Senior Engineer, mhare@mergemidwest.com 2025-05-09: Original file created