Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies--Task-Order Support. Realistic Timing Estimates for Automated Vehicle Implementation

The integration of automated vehicle (AV) technology into surface transportation is expected to reduce environmental impacts and enhance the movement of people and goods in the United States. While there has been significant growth in the development of AV, however, issues related to cybersecurity, data privacy, connectivity, and operating system maintenance costs contribute to its complexity and there is great uncertainty about the rate of deployment. Transportation agencies planning for AV implementation need realistic implementation timelines to aid decision-making. They need to identify a range of estimates—from optimistic to conservative—of market introduction and growth profiles for a broad range of the representative automated driving services that account for limiting factors such as rate of advancement in technologies, level of effort needed to expand operational design domains for each AV application, and the time and conditions for users to adopt new technologies. The objectives of this research are to (1) identify influencing factors and risks that affect the timing of the deployment of the Society of Automotive Engineers (SAE) Level 4 AV technologies, described in SAE J3016, in diverse scenarios; (2) define operational concept and input parameters for a decision-making model that will estimate deployment timeframes; and (3) develop recommendations for how and at what frequency a model and its parameters should be updated. The research plan shall give consideration to the following concepts: (1) the level of technical effort and investments required by agencies to safely operate AVs within various operational design domains such as urban or rural applications, climate/weather, roadway classifications, interaction with vulnerable road users, topography, geometric design, and infrastructure/asset readiness; (2) the ability of private entities to safely deploy AV technologies while considering barriers related to costs, technological limitations, supply chain, and local regulatory environments; (3) the amount of time and the conditions needed for different sectors of the user population to adopt new AV technologies and services; (4) historical data on the rate of growth of new features and enhancements (e.g., how these have gone from being optional features only available on expensive vehicles to being standard features on new vehicles and the turnover rate of the domestic vehicle fleet.); (5) passenger and goods movement applications in personal and fleet vehicle operation; (6) reasonable consideration for near term and long-range planning requirements; and (7) the need for decision makers to consider a range of optimistic to conservative assumptions of parameter values in a model.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=4870

Language

• English

Project

• Status: Active
• Funding: $149874
• Contract Numbers:

  Project 20-102(27)

• Sponsor Organizations:

  National Cooperative Highway Research Program

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC  United States  20001

  Federal Highway Administration

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

  American Association of State Highway and Transportation Officials (AASHTO)

  444 North Capitol Street, NW
  Washington, DC  United States  20001
• Project Managers:

  Crichton-Sumners, Camille

• Performing Organizations:

  WSP USA

  One Penn Plaza
  250 W 34th Street
  New York, New York  United States  10119
• Principal Investigators:

  Kuciemba, Steve

• Start Date: 20220929
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Deployment; Estimates; Forecasting; Implementation; Level 4 driving automation; Market penetration; State departments of transportation; Surveys; Transportation departments
• Subject Areas: Administration and Management; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01719242
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 20-102(27)
• Files: TRB, RIP
• Created Date: Oct 7 2019 3:09PM