Big Data Drive Deployment in a Connected Vehicle Environment

The data management and analytic requirements associated with collecting and interpreting connected vehicle data at scale are wide-ranging. Big Data Drive is a test and learn analytics methodology focused on connectivity, and it exists to accelerate internal capabilities to rapidly iterate, prototype, develop, and scale connectivity solutions for Ford Motor Company. Ultimately, Big Data Drive's goal is to leap-frog present capabilities to compete in the future connected economy. At present, Big Data Drive collects data from Ford employees; the sample of vehicles and the vehicle operation patterns reflected in the collected data to date are not reflective of the wider vehicle population. Installing BDD devices in a captive fleet within the city of Ann Arbor will allow Ford to gain learnings from a more heterogeneous vehicle sample in an urban setting. In addition, expansion of existing BDD operations in Ann Arbor will facilitate a stronger understanding of how Ford will need to collect and process vehicle data in a connected environment. This final report from this project will not be publicly available.

Language

• English

Project

• Status: Completed
• Funding: $Ford $438,674, UM $10,180, CCAT $0
• Contract Numbers:

  69A3551747105

• Sponsor Organizations:

  University Transportation Center Program

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Managing Organizations:

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109
• Principal Investigators:

  Sayer, James

  Feng, Yiheng

• Start Date: 20180101
• Expected Completion Date: 20201231
• Actual Completion Date: 20201231
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Connected vehicles; Data analysis; Data collection; Deployment; Transportation
• Subject Areas: Passenger Transportation; Research; Vehicles and Equipment;

Filing Info

• Accession Number: 01744452
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3551747105
• Files: UTC, RIP
• Created Date: Jun 30 2020 9:20AM