Utilization of Connectivity and Automation in Support of Transportation Agencies’ Decision Making – Phase 2 (Project H6)

Advanced technology vehicles (ATV) including connected vehicles (CV), non-connected automated vehicles (AV), and connected and automated vehicle (CAV) technologies and applications promise transformative changes in transportation system performance. Transportation agencies need the capability to assess the planning, design, operations, and management implications of the presence of such vehicles with different levels of connectivity and automation on system performance. In addition, these agencies need to assess the impacts of these technologies so that they can deploy them, or seek to inform or leverage their deployment, such that they improve the performance of the transportation system. This capability is particularly critical in the transition phase where a mixture of CAV’s and human-driven vehicles are likely to interact for at least the next decade or two and where there is insufficient real-world data to adequately guide such decisions. For decades, transportation system analysts have used modeling tools to estimate and forecast system performance. However, the introduction of ATV requires significant updates and extensions to the existing tools and the development of a framework and guidance for the use of these tools. Researchers around the world are using simulation and developing new models to assess CAV impacts. Phase 1 of this project provided a framework, guidance and initial use cases to support agencies in using simulation to analyze the impacts of ATV, as part of their decision-making processes. The proposed Phase 2 of this project will build on the achievement of Phase 1 by applying the developed framework and guidance developed in Phase 1. Phase 2 will apply the framework developed to use cases around the southeast United States. The research team will identify suitable use cases and will continue the involvement with public and private agency stakeholders to facilitate the adoption of the developed methods.

Language

• English

Project

• Status: Active
• Funding: $329692
• Contract Numbers:

  69A3551747104

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

  University of Florida
  365 Weil Hall
  Gainesville, FL  United States  32611
• Project Managers:

  Tucker-Thomas, Dawn

• Performing Organizations:

  North Carolina State University, Raleigh

  Institute for Transportation Research and Education
  Campus Box 8601
  Raleigh, NC  United States  27695-8601

  Georgia Institute of Technology

  Department of Civil and Environmental Engineering
  790 Atlantic Drive
  Atlanta, GA  United States  30322

  University of Florida Transportation Institute

  P.O. Box 116580
  Gainesville, FL  United States  32611

  Florida International University

  10555 West Flagler Street
  Miami, FL  United States  33174
• Principal Investigators:

  Samandar, M

  Rouphail, Nagui

  Guin, Angshuman

  Hunter, Michael

  Elefteriadou, Lily

  Hadi, Mohammed

• Start Date: 20220515
• Expected Completion Date: 20230731
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Connected vehicles; Decision making; Simulation; Vehicle mix
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01854180
• Record Type: Research project
• Source Agency: Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)
• Contract Numbers: 69A3551747104
• Files: UTC, RIP
• Created Date: Aug 10 2022 2:13PM