Connected vehicle impacts on transportation planning analysis of the need for new and enhanced analysis tools, techniques and data : Highway Capacity Manual briefing.
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2016-03-02
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NTL Classification:NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS
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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 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 the Highway Capacity Manual 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 the suitability of the Highway Capacity Manual 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 the HCM for use in analysis of C/AV technologies. The results show that HCM used in traditional transportation planning and analysis would potentially be modified or overhauled to accommodate analyses of connected vehicle applications and technology. Finally a roadmap 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 discusses the expected availability of potential data sources to inform those topics.
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