Measuring Work Zone Mobility Performance Using the National
Performance Management Research Data Set (NPMRDS)
Case Study: Application to the Texas Department of
Transportation GO I-10 Project
Publication No. FHWA-HOP-20-029
July 2021
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Technical Report Documentation Page
1. Report No. FHWA-HOP-20-029 |
2. Government Accession No. | 3. Recipient's Catalog No. | |
4. Title and
Subtitle
Performance Using the National Performance Management Research Data Set (NPMRDS) Case Study: Application to the Texas Department of Transportation GO I-10 Project |
5. Report Date July 2021 |
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6. Performing Organization Code: | |||
7. Author(s)
Alan Pate, Param Sankar, Filmon Habtemichael |
8. Performing Organization Report No. |
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9. Performing
Organization Name and Address
Battelle |
10. Work Unit No. (TRAIS) | ||
11. Contract or Grant No.
DTFH61-16-D-00049 / 693JJ318F000184 |
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12. Sponsoring
Agency Name and Address
U.S. Department of Transportation |
13. Type of Report and Period Covered
|
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14. Sponsoring Agency Code
HOP |
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15. Supplementary Notes
Jawad Paracha (FHWA – HOTO) |
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16. Abstract
FHWA is engaging with State Departments of Transportation (DOTs) and conducting research to understand work zone mobility performance measurement best practices, challenges, and opportunities. The information will be used to increase awareness on data, tools, and methods for systematic work zone performance measurement across all stages of project development including planning, design, construction, and post-construction. Topics of interest include use of probe data and mainstreaming performance measures into agency policies and processes, including work zone process reviews and incorporating work zones into transportation system management & operations (TSMO) initiatives. This case study is one of a series of resources on work zone mobility performance measurement. It demonstrates how the National Performance Management Research Data Set (NPMRDS) can be used to measure work zone mobility performance. The NPMRDS contains probe-vehicle-based speed and travel time data for major highways and roadways across the United States. A real-world road construction project (Texas DOT’s GO I-10 Project in El Paso, TX) is used to illustrate a simple, repeatable process that State DOTs can use to measure work zone mobility performance. |
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17. Key Words
Work zone mobility performance measurement, NPMRDS |
18. Distribution Statement
No restrictions. This document is available to the public. |
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19. Security Classification (of this report)
Unclassified |
20. Security Classification (of this page)
Unclassified |
21. No of Pages
50 |
22. Price |
Form DOT F 1700.7 (8-72) Reproduction of completed page authorized
Table of Contents
- Overview
- The National Performance Management Research Data Set and Work Zone Mobility Performance Measurement
- GO I-10 Construction Project Overview
- Case Study Analyses
- Construction and Project Information
- Analysis Type
- Performance Metrics and Visualizations
- NPMRDS Data Download
- Performance Thresholds
- Calculations and Results: Scenario 1 – Hypothetical Scenario as though the GO I-10 Project is Currently Underway
- Calculations and Results: Scenario 2 – Post-hoc Work Zone Performance Measurement for a Longer Time Period
- Interventions/Actions
- Reporting
- Lessons Learned
- Conclusion
- Appendix – Example Ten-Step Process
for Work Zone Mobility Performance Measurement using the
National Performance Management Research Data Set
- Step 1 – Gather Construction Information
- Step 2 – Determine Analysis Type
- Step 3 – Select Performance Metrics
- Step 4 – Download NPMRDS Data
- Step 5 – Establish Performance Thresholds
- Step 6 – Perform Calculations
- Step 7 – Interpret Results
- Step 8 – Take Action/Intervention
- Step 9 – Develop Report
- Step 10 – Document Lessons Learned
List of Figures
- Figure 1. Chart. Example process for estimating work zone mobility impacts using the National Performance Management Research Data Set
- Figure 2. Map. Advanced, Work Zone, and Transition Areas of GO I-10 Project
- Figure 3. Graph. Scenario 1 - Average hourly travel times during the first six-month construction period in eastbound direction
- Figure 4. Graph. Scenario 1 - Average hourly travel times during the first six-month construction period in westbound direction
- Figure 5. Graph. Scenario 1 - Travel time variability during the first six-month construction period when traffic underperformed in eastbound direction
- Figure 6. Graph. Scenario 1 - Travel time variability during the first six-month construction period when traffic underperformed in westbound direction
- Figure 7. Graph. Scenario 1 - Delay trends during the first six-month construction period in eastbound direction
- Figure 8. Graph. Scenario 1 - Delay trends during the first six-month construction period in westbound direction
- Figure 9. Graph. Scenario 2 - Average traffic speed during baseline and work zone conditions in eastbound direction
- Figure 10. Graph. Scenario 2 - Average traffic speed during baseline and work zone conditions in westbound direction
- Figure 11. Graph. Scenario 2 - Distribution of hourly travel times during baseline and work zone conditions
- Figure 12. Graph. Scenario 2 - Daily variability of peak hour travel times during morning and afternoon peak hours
- Figure 13. Graph. Scenario 2 - Seasonal variability of peak hour travel times during baseline and work zone conditions
- Figure 14. Equation. Travel Time Index and Planning Time Index
- Figure 15. Graph. Scenario 2 - Travel time index during baseline and work zone conditions
- Figure 16. Graph. Scenario 2 - Planning time index during baseline and work zone conditions
- Figure 17. Graph. Scenario 2 - Aggregated delays in the baseline and work zone conditions
- Figure 18. Graph. Scenario 2 - Hourly aggregated delays in the baseline and work zone conditions
- Figure 19. Chart. Example process for estimating work zone mobility impacts using the National Performance Management Research Data Set
- Figure 20. Graph. Example of Performance Threshold
- Figure 21. Equation. Estimated Travel Time
- Figure 22. Equation. Average Corridor Speed
- Figure 23. Equation. Actual Travel Time
List of Tables
- Table 1. Analysis parameters for GO I-10 Scenario 1
- Table 2. Analysis parameters for GO I-10 Scenario 2
- Table 3. Scenario 1 - Underperforming instance counts and average travel times in eastbound direction
- Table 4. Scenario 1 - Underperforming instance counts and average travel times in westbound direction
- Table 5. Scenario 2 - Underperforming instance counts and average travel times in eastbound direction
- Table 6. Scenario 2 - Estimating the monetary cost of delays in the eastbound direction
- Table 7. Scenario 2 - Estimating the monetary cost of delays in the westbound direction
List of Abbreviations and Acronyms
AADT | Average Annual Daily Traffic |
Caltrans | California Department of Transportation |
DOTD | Department of Transportation and Development |
FHWA | Federal Highway Administration |
MPO | Metropolitan Planning Organization |
NHS | National Highway System |
NPMRDS | National Performance Management Research Data Set |
ODOT | Ohio Department of Transportation |
TMC | Traffic Message Channel |
TOC | Traffic Operations Center |
TSMO | Transportation System Management & Operations |
TxDOT | Texas Department of Transportation |
WZAD | Work Zone Activity Data |
WZDI | Work Zone Data Initiative |