Guidance on Considering CAVs in Travel Demand Models
By the year 2045 or 2050 Connected and Automated Vehicles (CAVs) have the potential to significantly disrupt travel demand across North Carolina. The North Carolina Department of Transportation (NCDOT) is currently planning the infrastructure that will serve our travels needs in 2045 and beyond. There is an urgent need for NCDOT to better understand the potential effects of CAVs on travel demand and traffic forecasts, as a failure to do so could lead to big implications for NCDOT and the citizens of North Carolina. This research will provide guidance to NCDOT on possible modification of parameters and assumptions within the Regional Travel Demand Model (RTDM) Development Guidelines, including possible modifications to the standardized procedures related to CAVs. This guidance will be informed by scenario testing that will consider different levels of CAV penetration, various impacts on travel demand parameters (including changes in land use), and various impacts on supply parameters. This research will also provide guidance on the consideration of CAVs in the more advanced model structures found in the Triangle, Triad and Greater Charlotte regions, and areas not covered by the RTDM Development Guidelines.
Language
- English
Project
- Status: Active
- Funding: $236569
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Contract Numbers:
FHWA/NC/2023-11
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Sponsor Organizations:
North Carolina Department of Transportation
Research and Development
1549 Mail Service Center
Raleigh, NC United States 27699-1549 -
Managing Organizations:
North Carolina Department of Transportation
Research and Development
1549 Mail Service Center
Raleigh, NC United States 27699-1549 -
Project Managers:
Bradley, Curtis
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Performing Organizations:
North Carolina State University, Raleigh
Institute for Transportation Research and Education
Campus Box 8601
Raleigh, NC United States 27695-8601 -
Principal Investigators:
Huntsinger, Leta
- Start Date: 20220801
- Expected Completion Date: 20240731
- Actual Completion Date: 0
- USDOT Program: Research and Development
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Connected vehicles; Forecasting; Travel demand management
- Geographic Terms: North Carolina
- Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01853913
- Record Type: Research project
- Source Agency: North Carolina Department of Transportation
- Contract Numbers: FHWA/NC/2023-11
- Files: RIP, STATEDOT
- Created Date: Aug 4 2022 3:05PM