Updating Regional Transportation Planning and Modeling Tools to Address Impacts of Connected and Automated Vehicles, Volume 2: Guidance

Connected and automated vehicles (CAVs) are likely to influence all personal and goods movement level of demand, travel modes, planning and investment decisions, physical transportation infrastructure, and geographic areas. This report includes detailed information and guidelines for state departments of transportation and metropolitan planning organizations to help update their modeling and forecasting tools to address expected impacts of connected and automated vehicles (CAVs) on transportation supply, road capacity, and travel demand components. The report reflects on the challenge of forecasting travel behavior in the context of CAVs; describes the technologies and the influences on their adoption timelines; presents a framework for planning and modeling; presents approaches for planning under uncertainty; and suggests updates to trip-based and activity-based dynamic assignment and strategic modeling systems.

• Record URL:
  http://www.trb.org/Main/Blurbs/178393.aspx
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309479981
• Authors:
  • Zmud, Johanna
  • Williams, Tom
  • Outwater, Maren
  • Bradley, Mark
  • Kalra, Nidhi
  • Row, Shelley
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 99p
• Serial:
  • NCHRP Research Report
  • Issue Number: 896
  • Publisher: Transportation Research Board
  • ISSN: 2572-3766

Subject/Index Terms

• TRT Terms: Connected vehicles; Dynamic traffic assignment; Forecasting; Intelligent vehicles; Regional planning; Strategic planning; Traffic models; Travel behavior; Uncertainty
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01688142
• Record Type: Publication
• ISBN: 9780309479981
• Report/Paper Numbers: Project 20-102(09)
• Files: TRIS, TRB, ATRI
• Created Date: Dec 13 2018 9:31AM