Influence of Operations Strategies on Third Performance Management Rulemaking (PM3) and Other Travel Time-Based Measures Primer Part Two — Nonrecurring Congestion Strategies

Details

• Creators:
  Margiotta, Richard A. ; Kocher, Eric ; Dale, Jeff ; Burgess, Lisa
• Corporate Creators:
  Cambridge Systematics, Inc.
• Contributors:
  Taylor, Rich
• Corporate Contributors:
  United States. Department of Transportation. Federal Highway Administration. Office of Operations
• Subject/TRT Terms:
  Evaluation Operations Performance Measurement Strategic Planning Traffic Congestion Transportation Operations Transportation System Management
• Publication/ Report Number:
  FHWA-HOP-23-060
• Resource Type:
  Tech Report
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States
• Contracting Officer:
  Taylor, Rich
• Corporate Publisher:
  United States. Department of Transportation. Federal Highway Administration. Office of Operations
• Abstract:
  The purpose of this Primer is to apply an evaluation methodology previously developed by the Federal Highway Administration to six real-world case studies, and to provide examples for successful application of the methodology and highlight relationships to third performance management rulemaking measures. The methodology uses empirical data to track changes in travel times, as well as influencing factors: incidents, weather, and demand. The six case studies include two that address incident management; three that address adverse environmental events (snow and ice storms, dust storms, and rain); and one that addresses work zone management. Where indicated, traffic modeling was used to control for large variations in the influencing factors. Application of the methodology to six case studies revealed that, for the type of nonrecurring strategies implemented, little change in performance was observed using the empirical approach. The reason for this condition is that, by definition, nonrecurring strategies are narrowly focused on infrequent disruption events. In contrast, strategies that deal with recurring congestion will have an effect just about every day. As a result, travel time-based performance measures that accrue over an entire year may not be able to detect the infrequent effect of these strategies. Also, the effect of confounding by influencing factors for congestion—demand, crashes, and weather events—could mask the changes. To address this issue, modeling was used to hold these influencing factors constant for the before and after periods. Three of the case studies were used as examples and showed a highly positive net present value when the modeling results were obtained.
• Format:
  PDF
• Funding:
  DTFH61-16-D-00051
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:c97d7aff9f745ce2c0e64329e081a95327ead6b0cca99c552c28cdecb82cd45cf0186f1c3f57fc4501aab533129f883d1cf60fb70de7b06c70455bb1477ead3d
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/87996/dot_87996_DS1.pdf
• File Type:
  [PDF - 2.25 MB ]