Vehicle-to-Vehicle Messages as an Alternative to Floating Car Data for Traffic Monitoring

The authors show that Vehicle-to-Vehicle (V2V) communication, a concept under consideration by the Department of Transportation, is an effective alternative to Floating Car Data (FCD). Specifically, the authors use data mining techniques to show the Basic Safety Messages (BSM) emitted from V2V communication can be used for counting vehicles in an area, determining traffic characteristics, and performing location-based anomaly detection that can assist with identifying obstructions or traffic incidents on a road. Further, the authors show that vehicle counts and other traffic characteristics do not require unique vehicle IDs, satisfying the privacy concerns related to tracking vehicles via V2V. Due to the lack of adequate real-world data for experimentation, the authors' work employed simulated BSM data obtained through a MITRE research project utilizing simulation to generate scalable V2V data useful for analysis.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.
• Authors:
  • Mosier, Steve
  • Hohman, Elizabeth
  • Trivedi, Nirav
  • Jackson, Kyle L
  • Rosner, Timothy D
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p

Subject/Index Terms

• TRT Terms: Floating car data; Time series; Traffic models; Traffic surveillance; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01658536
• Record Type: Publication
• Report/Paper Numbers: 18-00428
• Files: TRIS, TRB, ATRI
• Created Date: Jan 31 2018 10:44AM