Cooperative Vehicle-Highway Automation (CVHA) Technology: Simulation of Benefits and Operational Issues

Traffic congestion costs an estimated one hundred billion dollars each year in the United States. To help manage driving in congested freeway environments, major automobile manufacturers are developing semi-autonomous Cooperative Vehicle-Highway Automation (CVHA) systems that keep pace with other vehicles and provide automated steering control to maintain lane position among other features. This study will utilize microscopic traffic simulation to model: (1) CVHA driving under different traffic conditions (2) CVHA driving under different operating parameters, such as minimum headway between vehicles, and (3) the interaction between non-CVHA vehicles and CVHA vehicles on the roadway. This research will provide state agencies with operational performance analysis of CVHA in different operating environments. This study focuses on developing the information necessary for State DOTs to make data-driven decisions regarding management of their current and next-generation infrastructure given the imminent introduction of CVHA technology; it also provides transparent analysis for state transportation officials to carefully evaluate the impacts of CVHA to their highway systems.

• Record URL:
  http://www.nctspm.gatech.edu/pi/cooperative-vehicle-highway-automation-cvha-technology-simulation-benefits-and-operational-issues

Language

• English

Project

• Status: Completed
• Funding: $210000.00
• Contract Numbers:

  DTRT12GUTC12

  NCTSPM 2013-029

• Sponsor Organizations:

  Research and Innovative Technology Administration

  University Transportation Centers Program
  Washington, DC  United States  20590

  Florida Department of Transportation

  605 Suwannee Street
  Tallahassee, FL  United States  32399-0450

  Georgia Department of Transportation

  One Georgia Center
  600 West Peachtree Street, NW
  Atlanta, GA  United States  30308
• Performing Organizations:

  Florida International University

  10555 W. Flagler Street
  Room 3602
  Miami, FL  United States  33172

  Georgia Institute of Technology, Atlanta

  School of Civil and Environmental Engineering
  Atlanta, GA  United States  30332
• Principal Investigators:

  Hadi, Mohammed

  Guin, Angshuman

  Rodgers, Michael

• Start Date: 20131101
• Expected Completion Date: 0
• Actual Completion Date: 20150501
• Source Data: RiP Project 36269

Subject/Index Terms

• TRT Terms: Automation; Headways; Highway operations; Intelligent vehicles; State departments of transportation; Traffic congestion; Traffic simulation
• Identifier Terms: Cooperative Vehicle Infrastructure Systems
• Uncontrolled Terms: Traffic conditions
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01640908
• Record Type: Research project
• Source Agency: National Center for Transportation Systems Productivity and Management
• Contract Numbers: DTRT12GUTC12, NCTSPM 2013-029
• Files: UTC, RIP
• Created Date: Jul 13 2017 1:01AM