Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support. Providing Support to the Introduction of CV/AV Impacts into Regional Transportation Planning and Modeling Tools

Under requirements for long-range transportation planning established by Moving Ahead for Progress in the 21st Century (MAP-21) Federal Statewide and Metropolitan Planning regulations, state departments of transportation (DOTs) and regional metropolitan planning organizations (MPOs) are required to have a multimodal transportation plan with a minimum 20-year time horizon. Current estimates are that vehicles with varying levels of connectivity and automation will be present on the highway system in significant numbers well before the year 2035, the minimum time horizon for plans initiated in the current year. Consequently, there is an urgent need for guidance on how to incorporate the impacts of automated and connected vehicles into the planning process, especially with the aim of updating the regional modeling and forecasting processes and support the development of long-term transportation plans.   The products of this task are particularly critical considering the large changes in infrastructure needs and travel demand possible with the introduction and gradual adoption of automated vehicles (AVs) and connected vehicles (CVs). Limited experiences have been developed, to date, by some agencies and selected research institutions in this area, but the experiences to date appear to be partial, and largely based on different modeling assumptions.  The objective of this task is to provide support to state DOTs and regional MPOs in the form of appropriate guidelines and information related to the updates needed in their modeling and forecasting tools, in order to more appropriately account for the expected impacts of AV and CV on transportation supply, road capacity, and travel demand components.   As part of this task, the contractor will develop the theoretical basis and specifications to include automated vehicles and connected vehicles as available modes in models to estimate travel demand and network performance, and identify the data needs (including both an assessment of potentially already available data and data that will become available in future years) required to support the re-estimation/update of the modeling frameworks. The final report will provide guidance to planning agencies, state DOT and regional MPO modeling offices and consultants, and will identify a set of guidelines that will assure appropriate updates and modifications are introduced in models used in different regions, in a consistent way across different regions and contexts.   The contractor will work in cooperation with the project panel in identifying the high-level goals for the development of the guidelines for updating regional transportation modeling frameworks. Based on this interaction with and feedback from the panel, the contractor will define a comprehensive framework of suggested adjustments and modifications, and specific guidelines on how to implement them in state-of-the-art travel demand modeling frameworks, that should be introduced in order to properly account for the various forecastable impacts CVs and AVs on transportation systems. Such modifications relate to robust ways to model issues that include, and are not necessarily limited to, infrastructure capacity for different road types, regulations for the use of CVs and AVs (e.g. dedicated lanes, eventual restrictions on the use of these vehicles on specific types of infrastructures, etc.), vehicle ownership, adoption of car-sharing programs, travel demand by mode, vehicle occupancy, evaluation of choice attributes, value of travel time, among others.   Additional considerations relevant to the development of this task include ways to realistically model (1) the market for vehicle ownership and how these vehicles will be used; (2) how AV use will impact other modes, including non-automated vehicles, transit, and non-vehicular modes; (3) the additional capabilities of CVs and AVs to adapt en-route to changing traffic conditions will require additional feedback into the models for assignment of vehicle trips to the road network.


  • English


  • Status: Active
  • Funding: $300000
  • Contract Numbers:

    Project 20-102(09)

  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    American Association of State Highway & Transportation Officials (AASHTO)

    444 North Capitol Street, NW, Suite 225
    Washington, DC  United States  20001

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Project Managers:

    Goldstein, Lawrence

  • Performing Organizations:

    Texas A&M Transportation Institute, College Station

    Texas A&M University System
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Principal Investigators:

    Zmud, Johanna

  • Start Date: 20160907
  • Expected Completion Date: 20180630
  • Actual Completion Date: 0
  • Source Data: RiP Project 40163

Subject/Index Terms

Filing Info

  • Accession Number: 01572157
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 20-102(09)
  • Files: TRB, RiP
  • Created Date: Aug 1 2015 1:30AM