Mining and Analysis of Traffic Safety and Roadway Condition Data

Public transportation systems must constantly balance the drive for improved safety of roadways with constraints of available resources. This project titled "Mining and Analysis of Traffic Safety and Roadway Condition Data" applied advanced data analysis techniques across traffic safety and roadway condition data to explore the feasibility of ultimately providing additional information to transportation policy makers. Successful results of these analyses would be useful in helping to identify potential safety problems based on data mining associations between roadway conditions collected by the Alabama Department of Transportation and traffic safety records that accompany the Critical Analysis Reporting Environment (CARE) system. This project involved researchers from the Data Mining Solutions Center, the Intelligent Systems Lab and the Computer Science and Civil Engineering Departments, at the University of Alabama in Huntsville. The initial results are very encouraging, and have strongly indicated that data mining is a successful method to perform advanced analysis of traffic safety and condition data. By querying these attributes and their "risk" values among the pavement datasets, roadway locations where crashes are over represented can be identified and targeted for further analysis and evaluation by transportation experts.

• Record URL:
  • http://utca.eng.ua.edu/research/projects/?id=04310
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/38092
• Supplemental Notes:
  • Both report cover and title page list date as July 2005. Technical Report Documentation Page displays date as January 2005.
• Corporate Authors:

  University of Alabama, Huntsville

  Information Technology and Systems Center
  Huntsville, AL  United States  35899

  University Transportation Center for Alabama

  University of Alabama
  Tuscaloosa, AL  United States  35487
• Authors:
  • Graves, Sara J
  • Rochowiak, Daniel
  • Anderson, Michael D
• Publication Date: 2005-7

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; References;
• Pagination: 13p

Subject/Index Terms

• TRT Terms: Data analysis; Data mining; High risk locations; Highway safety; Policy making; Risk assessment; Traffic safety
• Uncontrolled Terms: Pavement conditions
• Geographic Terms: Alabama
• Subject Areas: Highways; Policy; Safety and Human Factors; I82: Accidents and Transport Infrastructure;

Filing Info

• Accession Number: 01003863
• Record Type: Publication
• Report/Paper Numbers: UTCA Report 04310
• Contract Numbers: DTRS98-G-0028
• Files: UTC, NTL, TRIS
• Created Date: Sep 22 2005 8:00AM