Construction of “Driving Etiquette” database

The “Driving Etiquette” concept aims to establish statistics from large quantity of naturalistic driving data, and use the finding to ensure autonomous vehicles drive “like safe human drivers”. The motivation is from the observation that Google cars have been involved in 15 crashes over its first 1.4 million miles. This is about four times more frequent than human drivers’ crash statistics. The project team hypothesizes that if highly autonomous vehicles behave more like “normal” human drivers, they can operate more seamlessly in the traffic, and the crash rate may improve. “Learning etiquette” involves collecting a large amount of video data, and use the data to train algorithms to learn about “what is appropriate”.

• Record URL:
  ccat.umtri.umich.edu

Language

• English

Project

• Status: Completed
• Funding: $57,793
• Contract Numbers:

  69A3551747105

• Sponsor Organizations:

  Department of Transportation

  Office of the Secretary
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Center for Connected and Automated Transportation

  University of Michigan Transportation Research Institute
  Ann Arbor, MI  United States  48109
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  University of Michigan, Ann Arbor

  Department of Civil and Environmental Engineering
  2350 Hayward
  Ann Arbor, MI  United States  48109-2125
• Principal Investigators:

  Peng, Huei

• Start Date: 20170901
• Expected Completion Date: 20191231
• Actual Completion Date: 20200605
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Crash rates; Drivers; Driving; Human beings; Intelligent vehicles; Statistics; Traffic safety
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01645445
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3551747105
• Files: UTC, RIP
• Created Date: Sep 5 2017 6:38PM