01658536

Component

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.

This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.

18-00428

English

16p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Floating car data; Time series; Traffic models; Traffic surveillance; Vehicle to vehicle communications

Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-00428

TRIS, TRB, ATRI

Jan 8 2018 10:07AM