Connected Vehicle Impacts on Transportation Planning: Analysis of the Need for New and Enhanced Analysis Tools, Techniques and Data—Briefing for Traffic Simulation Models

The principal objective of this project, “Connected Vehicle Impacts on Transportation Planning,” is to comprehensively assess how connected vehicles should be considered across the range of transportation planning processes and products developed by states, Metropolitan Planning Organizations (MPOs), and local agencies throughout the country. The purpose of this memorandum is to provide a summary of a larger report that identified the need generated by Connected and Automated vehicle (C/AV) technology for new or enhanced tools, techniques, and data to support various C/AV planning activities and approaches for how to meet those needs. It focused on identifying enhancements to existing transportation analysis data and tools used in transportation planning that will be needed to extend those tools to accommodate C/AV impacts and outcomes in the future. This report focuses on the research and activities that will need to take place in order to adapt existing transportation models for use in analyzing Automated and Connected Vehicles. This report includes a summary of existing data, tools and products currently used in transportation planning processes. The next area includes an evaluation of the suitability of existing simulation models for C/AV analysis with respect to input/output interfaces, usability, modeling features and calibration requirements. Following is a gap analysis that identifies the limitations of current simulation models for use in analysis of C/AV technologies. The results show that simulation models used in traditional transportation planning, analysis and design would potentially be modified or overhauled to accommodate analyses of connected vehicle applications and technology. The ability to incorporate data provided through Connected and Automated vehicle demonstration projects will be especially important in these modifications. Finally a roadmap/research plan is provided that summarizes research topics to target these needs and gaps, identifies which agency would be best suited for addressing these needs, establishes priority levels for each topic and a draft schedule, and discusses the expected availability of potential data sources to inform those topics.

  • Record URL:
  • Corporate Authors:

    Cambridge Systematics, Incorporated

    4800 Hampden Lane
    Bethesda, MD  United States  20814

    Department of Transportation

    Intelligent Transportation Systems Joint Program Office
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Campbell, Robert
    • Alexiadis, Vassili
    • Krechmer, Daniel
  • Publication Date: 2016-3-11


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Photos; Tables;
  • Pagination: 33p

Subject/Index Terms

Filing Info

  • Accession Number: 01608673
  • Record Type: Publication
  • Report/Paper Numbers: FHWA-JP0-16-412
  • Contract Numbers: DTFH61-12-D-00042
  • Created Date: Aug 4 2016 1:35PM