Advancing Automated and Connected Vehicles: Policy and Planning Strategies for State and Local Transportation Agencies

Connected vehicle (CV) and automated vehicle (AV) technologies are rapidly entering the fleet and are expected to profoundly change personal, freight, and public transport. The potential benefits to society of these technologies are immense but there are also substantial risks. This report assesses policy and planning strategies at the state, regional, and local levels that could influence private-sector AV and CV choices to positively affect societal goals. The research team identified and described mismatches between potential societal impacts and factors that influence private-sector decisions on CV and AV technologies. Policy and planning actions that might better align these interests were then identified. After meeting with the project oversight panel to identify the most promising actions, the research team conducted in-depth evaluations of the feasibility, applicability, and impacts of 18 strategies. Ultimately, the research team found that transportation planning and policy making for AVs and CVs will be informed through a cycle of learning and leveraging early-adopter agencies that support testing, evaluation, research, and continuous knowledge creation. This report is intended for use by experienced agency staff as they explore actions their agency might take to increase the likelihood that CV and AV technologies will have beneficial impacts on traffic crashes, congestion, pollution, land development, and mobility (particularly for older adults, youths under the age of 16, and individuals with disabilities). A briefing document (TRID Accession Number 01648411) that concisely conveys the key findings of the research was developed to accompany this document.

• Record URL:
  http://www.trb.org/Main/Blurbs/176418.aspx
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309446464
• Authors:
  • Zmud, Johanna
  • Goodin, Ginger
  • Moran, Maarit
  • Kalra, Nidhi
  • Thorn, Eric
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; References; Tables;
• Pagination: 160p
• Serial:
  • NCHRP Research Report
  • Issue Number: 845
  • Publisher: Transportation Research Board
  • ISSN: 2572-3766

Subject/Index Terms

• TRT Terms: Autonomous land vehicles; Autonomous vehicle guidance; Connected vehicles; Intelligent vehicles; Mobile communication systems; Strategic planning; Transportation policy
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Policy; Vehicles and Equipment;

Filing Info

• Accession Number: 01647990
• Record Type: Publication
• ISBN: 9780309446464
• Report/Paper Numbers: Project 20-102(01)
• Files: TRIS, TRB, ATRI
• Created Date: Oct 3 2017 11:52AM