GIS-Based Non-Signalized Intersection Data Inventory Tool to Improve Traffic Safety

State Departments of Transportation (DOTs) employ the use of roadway data inventories to aid in decision making. The high number of intersection and intersection related crashes suggest the need for intersection-specific data inventories that can be associated to crash occurrences to help make better safety decisions. Currently, limited time and resources are the largest hurdles for implementation of comprehensive intersection data inventories, but online resources exist that DOTs can leverage to capture desired data. Researchers from The University of Alabama developed an online method to collect intersection characteristics for non-signalized intersections along state routes was developed using Google Maps and Google Street View, which was tied to a geographic information systems (GIS) node-link linear referencing method maintained by the Alabama DOT. A GIS-Based Intersection Data Inventory Web Portal was created to collect and record non-signalized intersection parameters. This study investigated nine non-signalized intersection types. Thirty intersections of each type were randomly selected from across the state, totaling 270 intersections. For each intersection, up to 78 parameters were collected, conforming to the Model Inventory of Roadway Elements (MIRE) schema. Using the web portal, the data parameters corresponding to an average intersection can be collected and catalogued into a database in approximately 10 minutes. The collection methodology and web portal function independently of the linear referencing method; therefore, the tool can be used by any state with spatial roadway data. Future work will investigate correlations with intersection characteristics and crash frequency to develop safety performance functions and crash modification factors.

• 
• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ20 Statewide Transportation Data and Information Systems.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Simandl, Jenna K
  • Graettinger, Andrew J
  • Smith, Randy K
  • Barnett, Timothy E
  • 0000-0002-7073-8751
• Conference:
  • Transportation Research Board 94th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2015-1-11 to 2015-1-15
• Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 14p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Decision support systems; Geographic information systems; Methodology; Unsignalized intersections
• Uncontrolled Terms: Web portals
• Geographic Terms: Alabama
• Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01555268
• Record Type: Publication
• Report/Paper Numbers: 15-1585
• Files: PRP, TRIS, TRB, ATRI
• Created Date: Feb 26 2015 10:05AM