A Data-Driven Autonomous Driving System for Overtaking Bicyclists

Many bicyclists share the roadway with motor vehicles that drive much faster. Once an accident occurs with bicyclists involved, the death rate of the bicyclist is extremely high. To date there is no mature and reliable technology that helps drivers overtake bicyclists safely and can be as well as accepted by bicyclists. This study follows a systematic method to develop a prototype for an automated overtaking system, specifically for overtaking bicyclists. Naturalistic driving data based on pre-extracted overtaking events with more other critical factors will be mined to create three models that covers four phases of an overtaking: approaching, overtaking, passing, and returning. These models will then be implemented as an automated overtaking prototype to a simulated platform for a motor vehicle to overtake bicyclists based on different strategies. An experiment of human study will be conducted to evaluate the prototype from both the viewpoints of the driver and the bicyclist that how they want to overtake and be overtaken safely. It is expected that the outcomes can offer the OEMs and suppliers who are keen on developing safe and human-centered automated vehicle systems with useful insights. Furthermore, the insights can be helpful for legislation on the act or guidelines of protecting on-road vulnerable bicyclists.

• Record URL:
  ccat.umtri.umich.edu

Language

• English

Project

• Status: Active
• Funding: $137,670
• Contract Numbers:

  69A3551747105

• Sponsor Organizations:

  University Transportation Center Program

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590

  Center for Connected and Automated Transportation

  University of Michigan, Ann Arbor
  Ann Arbor, MI  United States  48109
• Managing Organizations:

  University of Michigan Transportation Research Institute

  2901 Baxter Road
  Ann Arbor, Michigan  United States  48109

  Center for Connected and Automated Transportation

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

  Tucker-Thomas, Dawn

  Bezzina, Debra

• Performing Organizations:

  University of Michigan Transportation Research Institute

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

  Bao, Shan

  Lin, Brian

• Start Date: 20210201
• Expected Completion Date: 20221231
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Subprogram: Research

Subject/Index Terms

• TRT Terms: Autonomous vehicle guidance; Autonomous vehicles; Bicycle commuting; Bicycle crashes; Bicycle facilities; Bicycle lanes
• Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01767989
• Record Type: Research project
• Source Agency: Center for Connected and Automated Transportation
• Contract Numbers: 69A3551747105
• Files: UTC, RIP
• Created Date: Mar 24 2021 4:09PM