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Developing Analysis, Modeling, and Simulation Tools for Connected and Automated Vehicle Applications : A Case Study for I-66 in Virginia / Jiaqi Ma, Yi Guo, Zhitong Huang.
- Format:
- Book
- Government document
- Author/Creator:
- Ma, Jiaqi, author.
- Guo, Yi, author.
- Huang, Zhitong, author.
- Language:
- English
- Subjects (All):
- Intelligent transportation systems--Virginia--Simulation methods.
- Intelligent transportation systems.
- Vehicle-infrastructure integration--Virginia--Simulation methods.
- Vehicle-infrastructure integration.
- Interstate 66 (Va. and Washington, D.C.).
- Intelligent transportation systems--Simulation methods.
- United States--Interstate 66.
- Virginia.
- Physical Description:
- 1 online resource (vii, 68 pages) : color illustrations, color maps
- Place of Publication:
- McLean, VA : U.S. Department. of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, May 2021.
- Summary:
- 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.
- Notes:
- "Publication FHWA-HRT-21-050."
- "HRDO-30/05-21(WEB)E"--Page 4 of cover.
- "Performing Organization: Leidos, Inc.; University of California, Los Angeles"--Technical Report Documentation Page.
- "May 2021"--Technical report documentation page.
- Includes bibliographical references (pages 65-68).
- Description based on online resource; title from PDF title screen (FHWA, viewed on June 10, 2021).
- OCLC:
- 1255417865
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