Data-driven Freeway Performance Evaluation Framework for Project Prioritization and Decision Making

This report describes methods that potentially can be incorporated into the performance monitoring and planning processes for freeway performance evaluation and decision making. Reliability analysis is conducted on the selected I-15 corridor by employing congestion frequency as the performance measure and hot spots during peak hours are identified through sensitivity analysis. A data-driven algorithm combining spatiotemporal analysis and shockwave theory is developed and applied to historical traffic data and incident records to determine the secondary incidents. The results show that the occurrence of secondary incidents is highly related to weather and roadway conditions. Incident-induced delay is further quantified through spatiotemporal pattern recognition. The average delay induced by incidents aligns well with the incidents’ severity and impact. There were several hot spots suffering from higher delays and these are explored in further details. A statistical mechanism is developed to determine the adverse weather impact on travel. Using the weather records in 2013 and mapping with the PeMS traffic database, the volume and delay under normal condition are estimated and compared with the condition under adverse weather. The analysis of different roadway conditions reveals that the general parabolic pattern of speed and volume disappear under severe adverse weather condition. The mechanism is able to identify the causes for reduced volume under a variety of scenarios through empirical data, either due to roadway capacity reduction or travel demand reduction.

• Record URL:
  https://drive.google.com/file/d/1nkfxBOREMIBQf0HTcM43QXVyjZIFXEze/view?usp=sharing
• 
• Corporate Authors:

  University of Utah, Salt Lake City

  Department of Civil and Environmental Engineering
  110 South Central Campus Drive, Room 2115
  Salt Lake City, UT  United States  84112

  Utah Department of Transportation

  4501 South 2700 West
  Salt Lake City, UT  United States  84114-8410

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Liu, Xiaoyue Cathy
  • Chen, Zhuo
• Publication Date: 2015-3-31

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Draft Final Report
• Features: Figures; Maps; References; Tables;
• Pagination: 59p

Subject/Index Terms

• TRT Terms: Algorithms; Decision making; Evaluation; Freeways; Performance measurement; Sensitivity analysis; Traffic congestion; Traffic data; Traffic delays; Traffic incidents; Traffic volume; Weather conditions
• Geographic Terms: Utah
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01579634
• Record Type: Publication
• Report/Paper Numbers: UT-15.05, MPC 17-316
• Contract Numbers: 14-8691
• Files: TRIS, ATRI, USDOT, STATEDOT
• Created Date: Oct 26 2015 9:12AM