Assessing Connected Vehicle Data Coverage on New Jersey Roadways

Branislav Dimitrijevic, Zijia Zhong, Liuhui Zhao, Dejan Besenski, Joyoung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The connected vehicle data (CVD) is one of the most promising emerging mobility data that greatly increases the ability to effectively monitor transportation system performance. A commercial vehicle trajectory dataset was evaluated for market penetration and coverage to establish whether it represents a sufficient sample of the vehicle volumes across the statewide roadway network of New Jersey. The dataset (officially named Wejo Vehicle Movement data) was compared to the vehicle volumes obtained from 46 weight-in-motion (WIM) traffic count stations during the corresponding two-month period. The observed market penetration rates of the Movement data for the interstate highways, non-interstate expressways, major arterials, and minor arterials are 2.55% (std. dev. 0.76%), 2.31% (std. dev. 1.07%), 3.25% (standard deviation 1.48 %), and 4.39% (standard deviation 2.65%), respectively. Additionally, the temporal resolution of the dataset (i.e., the time interval between consecutive Wejo vehicle trips captured at a given roadway section, time-of-day variation, day-of-month variation) was also found to be consistent among the evaluated WIM locations. Although relatively low (less than 5%), the consistent market penetration, combined with uniform spatial distribution of equipped vehicles within the traffic flow, could enable or enhance a wide range of traffic analytics applications.

Original languageEnglish (US)
Title of host publication2022 IEEE 7th International Conference on Intelligent Transportation Engineering, ICITE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages388-393
Number of pages6
ISBN (Electronic)9781665460071
DOIs
StatePublished - 2022
Event7th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2022 - Beijing, China
Duration: Nov 11 2022Nov 13 2022

Publication series

Name2022 IEEE 7th International Conference on Intelligent Transportation Engineering, ICITE 2022

Conference

Conference7th IEEE International Conference on Intelligent Transportation Engineering, ICITE 2022
Country/TerritoryChina
CityBeijing
Period11/11/2211/13/22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Civil and Structural Engineering
  • Control and Optimization
  • Modeling and Simulation
  • Transportation

Keywords

  • Average Daily Traffic
  • Connected Vehicle Data
  • Market Penetration
  • Probe Vehicle Data
  • Roadway Functional Classifications

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