OPM02: Nuts and Bolts of Operations Performance Measurement (Blended)
Length: Approximately 8-10 hours
Description
This course is intended for the senior analyst, as well as first and second-level management. In it, we emphasize the measurement side of performance measurement, looking specifically at the data, tools and analysis methodologies available to the practitioner. It also will serve as a primer for those who have forgotten transportation engineering fundamentals.
Objectives
Upon completion of the course, participants will be able to:
- Describe the data needed to drive Operations Performance Measurement
- Discuss the use and importance of travel time and volume data
- List and explain the guidelines for the effective presentation of complex data
Outline (click to display)
Lesson 1. Data Needed To Drive Operations Performance Measurement (OPM)
- The Importance of Operations Measurement
- Why Measure Performance?
- The Operations Goal
- Key Principles for Performance Monitoring
- Principle 13
- The Operations Performance Measurement plan
- Performance Measures: Key Considerations
- Typical OPM data needs
- A Few Good Measures: Congestion Analysis
Lesson 2. Travel Time Data
- The Importance of Operations Measurement
- Why is Travel Time Data Important?
- Time Mean Speed (TMS) vs Space Mean Speed (SMS)
- Travel Time Sources
- Spot Speed Measurement
- Probe Data
- Re-identification Technologies
- Test Vehicle Travel Times
- Comparisons of Travel Time Sources
- Intrusive Detectors: At a Glance
- Non-intrusive Detectors: At a Glance
- Comparison of Travel Time Sources
- Travel Time (Speed) Data Collection
- Measures of Traffic Data Quality
- Data Source Selections Considerations
Lesson 3. Volume Data
- Why is Volume Data Important?
- Volume Sources
- Travel Time and Volume Sources
- Volume Data Collection Methods
- ITS Detectors for Volume
- Vehicle Classification
- Multimodal Volumes
- Roadway Inventories
- Volume Parameters
- Summarizing Data (from Continuous Counts)
- ADT vs AADT
- Factor Groups
- Factor Group Determination
- Adjustment Factors
- Common Necessary Adjustments
- Seasonal and Day-of-Week Adjustment Factors
- Axle Correction Adjustment Factors
- Growth Factor Adjustment Factors
- Estimation of Traffic Statistics
- Minimum Quality Checks (Volume Data Example)
Lesson 4. Incidents/Safety Data
- Incident/Crash Data Introduction
- Incident Data Sample: Segments
- Incident Data Sample: Intersections
- Crash Rates: Exposure and Example
- Cost of Incidents
- Surrogate Safety Measures
- Data Acquisition
- Accuracy & Fidelity of Incident Data
Lesson 5. Traffic Data Management Storage Systems
- Traffic Data Storage
- Why Archive Your Data?
- Why Archive Planning Data?
- Why Archive Operations Data?
- Why Archive Safety Data?
- Elements of an Effective Archive
- Traffic Data
- How Much Data?
- Data Fusion
- Data Fusion Tools
- Why Visualization?
- Visualization Tools Readily Available
- Implementing an Archive
- Archiving Technologies
- Writing Requirements
- Out-to-Bid Considerations
Lesson 6. Guidelines for Effective Presentation of Complex Data
- Reporting, Accountability, Decision Making
- Performance Measure System Design
- SHRP2 Project L1: A Framework for Improving Travel Time Reliability
- Reporting
- Short-Term Reporting
- Real-Time Applications
- Private-Company Traveler Information
- Smartphone Display of Routing Options
- Other System and Program Evaluations
- GDOT HERO Incident Response: Explaining Agency Performance
- Houston SAFEClear Program Rapid Towing Response
- System Performance Monitoring Examples
- Congestion Management Process Example
- The Power of Detailed Data: Travel Rate Variation and Cause
- Travel Time Probability Mass Functions (PMFs) by Time-of-Day
- Graphical Examples
- A Word About Developing Effective Tables
Lesson 7. Partnering in Operations Performance Measurement
- Critical Steps of an OPM Program
- Step 1: OPM Selection
- Step 2: Data Needs Determination
- Step 3: Data Acquisition
- Step 4: Data Storage
- Step 5: Data Processing
- Step 6: OPM Reporting and Visualization
- Why Partner?
Lesson 8. Data, Situational Awareness and Analytics Tools
- Steps for Successful Use of Tools and Analytical Methodologies
- Analysis Needs Determination
- Tool Selection: Other Criteria
- Sample Real-Time Situational Awareness Tools
- Examples of Traffic Analysis Tools: Probe Analytics
- Examples of Traffic Analysis Tools (iPeMS)
- Putting it All Together
- Cost of Congestion Pocket Card
- Project Assessment Summary
- Collaboration Example in the Northeast U.S.
Contributor(s)
Tim Lomax, Ph.D., P.E.
Texas A&M Transportation Institute (TTI)
William (Bill) Eisele, Ph.D.
Texas A&M Transportation Institute (TTI)