TITLE:
Estimation of Connected Vehicle Penetration on US Roads in Indiana, Ohio, and Pennsylvania
AUTHORS:
Margaret Hunter, Jijo K. Mathew, Howell Li, Darcy M. Bullock
KEYWORDS:
Connected Vehicle Trajectory Data, Penetration, Traffic Counts, Big Data
JOURNAL NAME:
Journal of Transportation Technologies,
Vol.11 No.4,
September
7,
2021
ABSTRACT: Connected vehicle data is an important assessment tool for agencies to
evaluate the performance of freeways and arterials, provided there is
sufficient penetration to provide statistically robust performance measures. A
common concern by agencies interested in using crowd sourced probe data is the
penetration rate across different types of roads, different hours of the day,
and different regions. This paper describes and demonstrates a methodology that
uses data from state highway performance monitoring systems in Indiana, Ohio and Pennsylvania. The
study analyzes 54 locations over the 3 states for select Wednesdays and
Saturdays in 2020 and 2021. Overall, across all locations and dates, the median
penetration was approximately 4.5%. The median penetration for August 2020 for
Indiana, Ohio, and Pennsylvania was 4.6%, 4.3%, and 4.0%, respectively. The
median penetration for those same states in August 2020 on interstates and
non-interstates was 3.9% and 4.6%, respectively. Additionally, the study
conducted a longitudinal evaluation of Indiana penetration for selected months
between January 2020 and June 2021. Indiana penetration increased modestly between December 2020
and June 2021, perhaps due to the post-COVID rebound of passenger vehicle
traffic. This paper concludes by
recommending that the techniques described in this paper be scaled to
other states so that traffic engineers can make informed decisions on the use
and limitations of connected vehicle data for various use cases.