Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support. Task 12. Business Models to Facilitate Deployment of CV Infrastructure to Support AV Operations

With development of autonomous or fully automated vehicles (AV) progressing rapidly, some observers are concerned that many of the road-safety, congestion-relief, energy-savings, pollution-reduction, and other public benefits that AV technology is predicted to deliver will depend on road infrastructure’s ability to exchange information with vehicles. Consideration of this exchange between vehicles and infrastructure (I2V or V2I) is a part of a broader interest in connected vehicle (CV) technology that often is conflated with AV technology in public policy discussions. Some observers assert that CV technology—both I2V and V2I—is an essential adjunct to successful AV development, and that possibly substantial infrastructure investments will be required for CV deployment. State transportation and their counterparts at local, metropolitan, and multi-state levels of government may be called on the make such investments. While AV technology is being developed and deployed largely in the private sector, these public-sector agencies play a role in deployment of CV infrastructure, and infrastructure deployment necessarily proceeds at a measured pace. How vehicle purchasers, road users, and the broader audience of taxpayers and other stakeholders perceive and respond to AV and CV technology will undoubtedly influence the path and speed of development and deployment. The objective of this research was to provide information and guidance for decision-makers at transportation agencies on the issues likely to influence investment in connected-vehicle (CV) infrastructure, the potential public and private benefits and costs of such infrastructure investment and the potential impact of such investment on automated-vehicle (AV) deployment, and business cases to be made for agency involvement in the investment.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=4256

Language

• English

Project

• Status: Completed
• Funding: $400000
• Contract Numbers:

  Project 20-102, Task 12

• Sponsor Organizations:

  National Cooperative Highway Research Program

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC  United States  20001

  American Association of State Highway and Transportation Officials (AASHTO)

  444 North Capitol Street, NW
  Washington, DC  United States  20001

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  Lemer, Andrew

• Performing Organizations:

  WSP USA

  One Penn Plaza
  250 W 34th Street
  New York, New York  United States  10119
• Principal Investigators:

  Porcari, John

• Start Date: 20170711
• Expected Completion Date: 20200715
• Actual Completion Date: 20200715
• Source Data: RiP Project 41006

Subject/Index Terms

• TRT Terms: Automation; Autonomous vehicles; Business models; Connected vehicles; Decision making; Deployment; Infrastructure; Intelligent vehicles; Mobile communication systems; Transportation departments; Vehicle to infrastructure communications; Vehicle to vehicle communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01607611
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 20-102, Task 12
• Files: TRB, RIP
• Created Date: Aug 12 2016 8:47AM