Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring

Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, antilock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with Global Positioning System (GPS) coordinates and cellular connectivity, can provide valuable on-the-ground sampling of vehicle dynamics at the onset of a storm. We are rapidly entering an era where this vehicle data can provide an agency with opportunities to more effectively manage their systems than traditional procedures that rely on fixed infrastructure sensors and telephone reports. This data could also reduce the density of roadway weather information systems (RWIS), similar to how probe vehicle data has reduced the need for micro loop or side fire sensors for collecting traffic speeds.

• Record URL:
  https://doi.org/10.5703/1288284317212
• Summary URL:
  https://docs.lib.purdue.edu/cgi/viewcontent.cgi?filename=1&article=3283&context=jtrp&type=additional
• Corporate Authors:

  Purdue University

  Joint Transportation Research Program
  West Lafayette, IN  United States  47907-2051

  Indiana Department of Transportation

  100 N Senate Avenue
  Indianapolis, IN  United States  46204

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Li, Howell
  • Saldivar-Carranza, Enrique
  • Mathew, Jijo K
  • Kim, Woosung
  • Desai, Jairaj
  • Wells, Timothy
  • Bullock, Darcy M
• Publication Date: 2020-8

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; Photos; References; Tables;
• Pagination: 44p

Subject/Index Terms

• TRT Terms: Computer network protocols; Data collection; Global Positioning System; Information processing; Road weather information systems; Vehicle dynamics; Winter maintenance
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01766899
• Record Type: Publication
• Report/Paper Numbers: FHWA/IN/JTRP-2020/20
• Contract Numbers: SPR-4323
• Files: TRIS, ATRI, USDOT, STATEDOT
• Created Date: Mar 3 2021 9:29AM