Risk Analysis of Autonomous Vehicles in Mixed Traffic Streams

The evolution in computing, communication and vehicular technologies have resulted in connected and autonomous vehicles. Due to its potential of significantly reducing highway crashes, fatality rates and improving quality of life, the autonomous vehicles are viewed as the next revolution in the transportation system by both private sector and public agencies. As the National Highway Transportation Safety Administration (NHTSA) moves towards mandating vehicle-to-vehicle (V2V) connectivity for new vehicle models in the next few years, automotive industries are now increasing their efforts to develop V2V enabled vehicles.

• Record URL:
  http://www.utrc2.org/research/projects/risk-analysis-autonomous-vehicles

Language

• English

Project

• Status: Completed
• Funding: $166136.00
• Contract Numbers:

  49198-28-27

• Sponsor Organizations:

  University Transportation Research Center

  City College of New York
  Marshak Hall, Suite 910, 160 Convent Avenue
  New York, NY  United States  10031
• Project Managers:

  Thorson, Ellen

  Eickemeyer, Penny

• Performing Organizations:

  Rowan University

  College of Engineering
  201 Mullica Hill Road
  Glassboro, NJ  United States  08028
• Principal Investigators:

  Nazari, Rouzbeh

  Bhavsar, Parth

• Start Date: 20150601
• Expected Completion Date: 0
• Actual Completion Date: 20160331
• Source Data: RiP Project 39767

Subject/Index Terms

• TRT Terms: Autonomous vehicle guidance; Connectivity; Fatalities; Intelligent vehicles; Technological innovations; Vehicle safety; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01565940
• Record Type: Research project
• Source Agency: University Transportation Research Center
• Contract Numbers: 49198-28-27
• Files: UTC, RIP
• Created Date: Jun 6 2015 1:00AM