Drivers’ Response to Scenarios When Driving Connected and Autonomous Vehicles Compared to Vehicles With and Without Driver Assist Technology

Day-of-the-week, time-of-the-day, trip purpose, driving condition (road functional class, speed limit, wet/dry pavement, lighting condition, etc.), vehicle type (car, sports utility vehicle, minivan, light truck, etc.), and driver characteristics (age, gender, and the number of years of driving experience) influence operational and safety performance measures of a transportation facility. At the same time, technological advancements in the automobile industry has led to vehicles with driver assisting collision avoidance systems. It is anticipated that vehicles with and without driver assist technology will be taken over by connected and autonomous vehicles over the next few decades. However, the effect of such advancement in automobile industry on operational and safety performance measures is not yet clear. It is also not clear how drivers would respond to scenarios when driving connected and autonomous vehicles compared to vehicles with and without driver assist technology. The objective of this research is to collect data and assess drivers’ response to scenarios when driving connected and autonomous vehicles compared to vehicles with and without driver assist technology. The outcomes from this research are anticipated to help define parameters pertaining to drivers’ response by vehicle type and model the effect of different connected and autonomous vehicle penetration rates on operational and safety performance measures of a transportation facility using microscopic traffic simulation software.

Language

• English

Project

• Status: Completed
• Funding: $74995
• Contract Numbers:

  69A3551747127

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

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

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Stearns, Amy

• Performing Organizations:

  Mineta Consortium for Transportation Mobility

  San Jose State University
  San Jose, CA  United States  95112
• Principal Investigators:

  Pulugurtha, Srinivas

• Start Date: 20190701
• Expected Completion Date: 20201231
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Assistive technology; Autonomous vehicles; Behavior; Connected vehicles; Drivers
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01713206
• Record Type: Research project
• Source Agency: Mineta Consortium for Transportation Mobility
• Contract Numbers: 69A3551747127
• Files: UTC, RIP
• Created Date: Aug 2 2019 6:10AM