Develop a Real-time Decision Support Tool for Urban Roadway Safety Improvement

Due to the complex nature of urban roadways, conventional crash prediction models are limited as these models omit operating speed, short-duration volume, and weather data. To mitigate this research gap, the following three national databases can be utilized: (1) National Performance Management Research Data Set (NPMRDS) with passenger and freight speed data, (2) Travel Monitoring Analysis System (TMAS) data with both temporary traffic counting and continuous traffic counting programs, and (3) real-time weather data from the National Oceanic and Atmospheric Administration (NOAA). The fatality rate on Texas roadways for 2020 was 1.50 deaths per hundred million vehicle miles traveled, which is an 18.94% increase from 1.26 in 2019. From 2011 to 2020, the fatalities on rural roadways increased by 19%, and this increase on urban roadways is disproportionately high (31%). Research and a supporting decision support tool are necessary to improve urban safety. The research teams will leverage ongoing staff leadership and engagement in several national and state Department of Transportation (DOT) speed-safety projects. The research teams will provide updated safety performance functions (SPFs) for urban roadways and a real-time decision support tool on risk scoring with the applicability of new data input and model updating pipeline.

• Record URL:
  https://library.ctr.utexas.edu/Presto/project=7144

Language

• English

Project

• Status: Active
• Funding: $465010
• Contract Numbers:

  0-7144

• Sponsor Organizations:

  Texas Department of Transportation

  11th and Brazos Streets
  Austin, TX  United States  78701
• Managing Organizations:

  Texas Department of Transportation

  11th and Brazos Streets
  Austin, TX  United States  78701
• Project Managers:

  Kasberg, Katelyn

• Performing Organizations:

  Texas State University, San Marcos

  JCK Building, Suite 489
  San Marcos, TX  United States 

  Texas Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135
• Principal Investigators:

  Das, Subasish

• Start Date: 20230109
• Expected Completion Date: 20250630
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Data analysis; Decision support systems; Highway safety; Improvements; Predictive models; Urban highways
• Identifier Terms: Safety Performance Functions
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors;

Filing Info

• Accession Number: 01875322
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7144
• Files: RIP, STATEDOT
• Created Date: Mar 9 2023 2:09PM