Office of Operations
21st Century Operations Using 21st Century Technologies

Operations Performance Management Primer: From Performance Measures to Performance Management

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United States Department of Transportation logo.

U.S. Department of Transportation
Federal Highway Administration
Office of Operations
1200 New Jersey Avenue, SE
Washington, DC 20590
www.ops.fhwa.dot.gov

FHWA-HOP-24-005

March 2023


Table of Contents

[ Notice and Quality Assurance Statement ] | [ Technical Report Documentation ] | [ SI Modern Metric Conversion Factors ]| [ List of Acronyms ]

Executive Summary

Chapter 1. Introduction

Purpose of this Primer

What Is Operation Performance Measures And Management?

Chapter 2. Relationship of Operations Performance measures and Management to Transportation Performance Management and Performance Based Planning and Programming

Introduction

Why Undertake Transportation Performance Management?

Relationship to Performance-Based Planning and Programming

Correlation to Planning For Operations

Chapter 3. Operations Performance Management: Major Functions

Overview

Performance/Measurement

Performance Monitoring

Reporting

Project/Strategy Evaluation

Operate

Chapter 4. Operations Performance Measures and Management in Decisionmaking

How Operations Performance Measures and Management Enhances Transportation Systems Management and Operations Planning and Programming Decisions

Integrating Operations Performance Measures and Management Into Agency Processes

Chapter 5. Assessing Your Progress in Conducting Operations Performance Management

Primer Summary

Operations Performance Measures and Management Capability Maturity Framework

Using the Operations Performance Measures and Management Capability Maturity Frameworks to Guide the Adoption of Operations Performance Measures and Management

References

List of Figures

Figure 1. Flow chart. General features of operations performance measures and management.

Figure 2. Diagram. Operations performance measures and management and the strategic planning process.

Figure 3. Flow chart. Influencing factors for congestion.

Figure 4. Flow chart. Relationship between external factors and operations performance measures and management.

Figure 5. Chart. Travel time reliability trends on Florida freeways.

Figure 6. Screenshot. Depiction of congestion in time and space.

Figure 7a. Chart. Reliability characteristics: I-75 Northbound I-85 Roswell Road, Atlanta.

Figure 7b. Chart. Sources of Congestion: I-75 Northbound I-85 Roswell Road, Atlanta.

Figure 8. Screenshot. Presentation of travel time measures in on a facility.

Figure 9. Line graph. Example time plot of travel time index on test and control sites.

Figure 10. Flow chart. Before/after evaluation methodology using controls for exogenous factors.

Figure 11. Diagram. Program logic model applied to traffic incident management.

List of Tables

Table 1. Changes in performance on selected Atlanta, Georgia freeways, 2006 to 2008.

Table 2a. Time slice—PM peak period (4:30 p.m. to 6:30 p.m.).

Table 2b. Incident analysis.

Table 3. Operations Performance Measures and Management capability maturity framework.