Developing Analysis, Modeling, and Simulation Tools for Connected and Automated Vehicle Applications: A Case Study for I–66 in Virginia

The purpose of this report is to document a simulation-based case study completed by the project team to investigate the effectiveness of SAE J3016 Level 1 automation technology for mitigating or solving existing transportation problems related to congestion, fuel consumption, and emissions (SAE International 2016). The case study conducted simulations on a real-world corridor, I–66 in Northern Virginia. This report discusses simulated infrastructure and connected and automated vehicle (CAV) technological strategies. The study evaluated the effectiveness of three CAV applications: cooperative adaptive cruise control, speed harmonization, and cooperative merge. The case study also evaluated the potential benefits of changes to the physical infrastructure, including dedicated ramps and a realistic managed-lane concept—a connected vehicle (CV)– and CAV–eligible high-occupancy vehicle (HOV) lane—where CVs, CAVs, and HOVs (human-driven or CV and CAV) can access a left-side managed lane. The report identifies the most critical simulation parameters related to CAV algorithms, CV and CAV market penetration, traffic demand, and infrastructure enhancement alternatives and used various combinations of these factors to generate different simulation scenarios. The simulation results provide operational insights that State and local departments of transportation may use in future strategic planning for CAV programs.

• Record URL:
  https://www.fhwa.dot.gov/publications/research/operations/21050/21050.pdf
• Summary URL:
  https://www.fhwa.dot.gov/publications/research/operations/21050/index.cfm
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/56284
• Corporate Authors:

  Leidos, Incorporated

  11251 Roger Bacon Drive
  Reston, VA  United States  20190

  University of California, Los Angeles

  Los Angeles, California  United States  90095

  Federal Highway Administration

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

  Federal Highway Administration

  Research, Development and Technology
  6300 Georgetown Pike
  McLean, VA  United States  22101
• Authors:
  • Ma, Jiaqi
  • 0000-0002-8184-5157
  • Guo, Yi
  • 0000-0002-4778-1823
  • Huang, Zhitong
  • 0000-0003-2871-6302
• Publication Date: 2021-5

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Maps; References; Tables;
• Pagination: 80p

Subject/Index Terms

• TRT Terms: Autonomous intelligent cruise control; Autonomous vehicles; Case studies; Connected vehicles; Forecasting; High occupancy vehicle lanes; Interchange ramps; Level 1 driving automation; Merging control; Traffic simulation
• Identifier Terms: Interstate 66
• Geographic Terms: Virginia
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01774776
• Record Type: Publication
• Report/Paper Numbers: FHWA-HRT-21-050
• Contract Numbers: DTFH61-12-D-00030, TO 22
• Files: NTL, TRIS, ATRI, USDOT
• Created Date: Jun 23 2021 2:35PM