U.S. Department of Transportation
Federal Highway Administration
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Washington, DC 20590
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Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations
| REPORT |
| This report is an archived publication and may contain dated technical, contact, and link information |
 |
| Publication Number: FHWA-HRT-21-039 Date: March 2021 |
Publication Number: FHWA-HRT-21-039 Date: March 2021 |
PDF Version (1.18 MB)
Connected automated vehicle (CAV) technology is expected to produce significant mobility, safety, and environmental benefits for the traveling public. However, real-world case studies are needed to articulate reasonable benefits attributable to the technology. This report details a case study on the impact of vehicle connectivity and automated longitudinal control (i.e., SAE J3016 driving automation Level 1) on SR 99 in California to explore the benefits of cooperative adaptive cruise control on mobility and environmental performance measures.(1) This report may be of interest to State and local departments of transportation looking to better understanding possible real-world impacts of CAV technology.
Brian P. Cronin, P.E.
Director of Safety and Operations
Research and Development
Notice
This document is disseminated under the sponsorship of the U.S. Department of Transportation (USDOT) in the interest of information exchange. The U.S. Government assumes no liability for the use of the information contained in this document.
The U.S. Government does not endorse products or manufacturers. Trademarks or manufacturers' names appear in this report only because they are considered essential to the objective of the document.
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Technical Report Documentation Page
| 1. Report No.
FHWA-HRT-21-039 |
2. Government Accession No. | 3. Recipient's Catalog No. | ||
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| 4. Title and Subtitle
Developing Analysis, Modeling, and Simulation Tools for Connected Automated Vehicle Applications: A Case Study on SR 99 in California |
5. Report Date
March 2021 |
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| 6. Performing Organization Code |
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| 7. Author(s)
Hao Liu (ORCID: 0000-0001-5585-6576), Xiao-Yun Lu (ORCID:0000-0001-6491-3990), Steven E. Shladover (ORCID: 0000-0002-3207-0084), and Zhitong Huang (ORCID: 0000-0003-2871-6302) |
8. Performing Organization Report No. | |||
| 9. Performing Organization Name and Address
Leidos, Inc. |
10. Work Unit No. (TRAIS) | |||
| 11. Contract or Grant No.
DTFH6116D00030, Task Order 22 |
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| 12. Sponsoring Agency Name and Address
U.S. Department of Transportation |
13. Type of Report and Period Covered
Final Report; September 2020 |
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| 14. Sponsoring Agency Code
HRDO-20 |
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| 15. Supplementary Notes
The government Task Managers were John Halkias (HOTM-1), who led application development, and Gene McHale (HRDO-20; ORCID: 0000-0003-1031-6538), who led the case study. |
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| 16. Abstract
The purpose of this report is to document a simulation-based case study investigating the effectiveness of SAE J3016 Level 1 automation technology for mitigating or solving existing transportation problems related to congestion, fuel consumption, and emissions.(1) This case study examined the impacts of cooperative adaptive cruise control (CACC) vehicle string operations on traffic performance and fuel consumption on the 13-mi SR 99 northbound corridor from Elk Grove Boulevard to SR 50 near Sacramento. The research team evaluated the performance of the busy urban corridor under various CACC market penetration scenarios, traffic demand inputs, and CACC management strategies. Specifically, the research team examined average vehicle speed, average vehicle miles traveled per gallon of fuel consumed, average string length, and CACC vehicle string probability (i.e., the probability of a CACC vehicle operating in a string) at CACC market penetration rates of 0, 20, 40, 60, 80, and 100 percent. The study investigated the corridor's spatiotemporal traffic patterns under the existing traffic demand and with the demand increased by 20 percent. Additionally, it analyzed CACC string operation after vehicle awareness device and CACC managed lane strategies were implemented. |
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| 17. Key Words
Connected automated vehicle, cooperative adaptive cruise control, microscopic traffic modeling, CACC vehicle string operation, vehicle fuel consumption |
18. Distribution Statement
No restrictions. This document is available through the National Technical Information Service, Springfield, VA 22161. |
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| 19. Security Classification (of this report) Unclassified |
20. Security Classification (of this page) Unclassified |
21. No. of Pages
41 |
22. Price
N/A |
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| Form DOT F 1700.7 (8-72) | Reproduction of completed page authorized |
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