Developing "Hiqhway Capacity Manual" Capacity Adjustments for Agency Connected and Autonomous Vehicle Operational Planning Readiness under Varying Levels of Volume and Market Penetration

The research objectives of this project are to develop the highway capacity adjustments for Connected and Autonomous Vehicles (CAVs) at different levels of volume and market penetration in order to adapt the use of the Highway Capacity Manual (HCM) in analyzing CAV applications. The major highlight of this project is the project team working closely with Technical Advisory Committee (TAC) through an iteratively updating and revising process. The major approach for this problem is through a scenario simulation planning framework and through simulation tools in which the CAV and non-CAV behavior are coded differently. The interactions among and beyond CAVs and non-CAVs are specified in details in the simulation scenarios. It is important to note that this research intends to focus on CAV and not Connected Vehicles (CV) nor Autonomous Vehicles (AV). This is because CV and AV on their own are not anticipated to greatly impact highway capacity. Significant capacity gains are only anticipated when both vehicles are automated (driven by computer) and connected (computer driven vehicles coordinating and optimizing with one another). This project plans on testing market penetration at varying levels of volumes to see how market penetration impacts both throughput (maximum pre-breakdown flow rate) and recovery time after congestion subsides (breakdown flow rate and maximum discharge flow rate) under various conditions. This research also attempts to measure how incidents (crashes) and events (weather, local surges in entering or exiting volume) impact throughput and recovery time at varying levels of volume and market penetration. The expected products of this research are highway capacity adjustment lookup tables and figures for different facilities (freeway, arterials) at different levels of CAV market penetration. This project is designed to address the limitations identified with respect to the CAV effects in HCM analysis procedures. It is anticipated that the project team and the project TAC will work closely regarding the iterative nature of assumptions and results associated with the defined scenarios to ensure the usefulness of the project products for agency operational and planning readiness. The project team is also expected to be receptive to relevant research elsewhere and what new CAV advancements could possibly emerge over the project period. This project will benefit public agencies to accommodate highway capacity related analysis under the impacts of CAV for different levels of volumes and market penetrations. Specifically, it will inform agencies about how CAV market penetration will affect capacity leading to better informed investment decisions in area freeways, new roundabouts and signals, and safety projects.This research will also put the HCM at the forefront of CAV research in terms of operational readiness of CAV applications and technologies.


  • English


  • Status: Active
  • Funding: $395000
  • Contract Numbers:


  • Sponsor Organizations:

    Connecticut Department of Transportation

    2800 Berlin Turnpike
    Newington, CT  United States  06131

    Indiana Department of Transportation

    Indiana Government Center North
    100 North Senate Avenue
    Indianapolis, IN  United States  46204-2249

    Oregon Department of Transportation

    355 Capitol St. NE
    Salem, OR  United States  97301-3871

    Texas Department of Transportation

    125 E. 11th Street
    Austin, TX  United States  78701-2483

    Utah Department of Transportation

    4501 South 2700 West
    Project Development
    Salt Lake City, UT  United States  84114-8380

    Washington State Department of Transportation

    Transportation Building
    Olympia, WA  United States  98504

    Arkansas Department of Transportation

    Little Rock, AR  United States 

    North Carolina Department of Transportation

    P.O. Box 25201
    1 South Wilmington Street
    Raleigh, NC  United States  27611

    Florida Department of Transportation

    Research Center
    605 Suwannee Street MS-30
    Tallahassee, FL  United States  32399-0450

    Maryland Department of Transportation State Highway Administration

    707 N. Calvert Street
    Baltimore, MD  United States  21202
  • Project Managers:

    Knudson, Tony

  • Start Date: 20180816
  • Expected Completion Date: 20220216
  • Actual Completion Date: 0
  • Source Data: RiP Project 42347

Subject/Index Terms

Filing Info

  • Accession Number: 01641395
  • Record Type: Research project
  • Source Agency: Federal Highway Administration
  • Contract Numbers: TPF-5(371)
  • Created Date: Jul 22 2017 1:00AM