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

Details

• Creators:
  Margiotta, Richard A. ; Hallenbeck, Mark E. ; Bullock, Darcy ; Kulathintekizhakethil, Mathew J.
• 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-24-001
• 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: 1) summarize previous methods used to evaluate operations strategies, 2) document the recurring congestion operational strategy implementation evaluation methodology developed for the project, including the performance measures needed to characterize benefits and costs and how to relate to third performance management rule (PM3) measures; 3) report the results of the seven real-world evaluations conducted with the methodology; and 4) provide examples for successful application of the methodology and highlight their relationship to PM3 measures. The methodology uses empirical data to track changes in travel times and influencing factors: incidents, weather, and demand. Where indicated, traffic modeling is used to control large variations in the influencing factors. Application of the methodology to seven case studies revealed that six cases achieved a notable improvement in performance; in the seventh case, congestion in the "before" period was marginal, so little change was noted. Depending on the conditions of each case, the PM3 measures will not always track with traditional congestion mobility measures. In several instances, traditional measures showed a performance improvement, but no improvement manifested in the PM3 measures for two reasons: (1) the binary nature of the PM3 measure (reliable/not reliable); and (2) components of the PM3 metric changing at different rates from the before period to the after period (e.g., the 50th and 80th percentile travel times in the level of travel time reliability metric).
• Format:
  PDF
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:9cc2d89d91c0bdb1e6b4df081cda9d7956b33531266f295fde0e717a48a23d661da52fd0ab3831d488a51fb9ea1fe8b98a47d7060590d18f41953b6196c96f06
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/87995/dot_87995_DS1.pdf
• File Type:
  [PDF - 3.07 MB ]