United States Department of Transportation
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Connected vehicle impacts on transportation planning technical memorandum #3 : analysis of the need for new and enhanced analysis tools, techniques, and data.
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2015-06-01
[PDF-1.17 MB]
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Abstract: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 identify 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 focuses 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 also considers the need for the development of
entirely new tools and datasets when the existing ones cannot feasibly be enhanced or extended to enable C/AV analyses. This report follows four
major themes, the first of which is a summary of existing data, tools and products currently used in transportation planning processes. The next area
includes an evaluation and comparison of existing tools and their suitability 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 existing tools and data for use in analysis of C/AV
technologies. The results show that data and analysis tools used in traditional long-term transportation planning would potentially be modified or
overhauled to accommodate analyses of connected vehicle applications and technology. Finally a roadmap is provided that identifies 19 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 discusses the expected availability of potential data sources to inform those topics.
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