U.S. Department of Transportation
Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC 20590
202-366-4000
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-22-054 Date: February 2022 |
Publication Number: FHWA-HRT-22-054 Date: February 2022 |
PDF Version (4.21 MB)
Technical Report Documentation Page
1. Report No.
FHWA-HRT-22-054 |
2. Government Accession No. | 3 Recipient's Catalog No. | ||
4. Title and Subtitle
Multiresolution Modeling for Traffic Analysis: Case Studies Report |
5. Report Date
February 2022 |
|||
6. Performing Organization Code | ||||
7. Author(s)
Mohammed Hadi (0000-0003-2233-8283), Xuesong (Simon) Zhou (0000-0002-9963-5369), David Hale (0000-0001-5486-9367) |
8. Performing Organization Report No. | |||
9. Performing Organization Name and Address
Leidos, Inc. |
10. Work Unit No. (TRAIS) | |||
11. Contract or Grant No.
DTFH6116D00030-93JJ319F000376 |
||||
12. Sponsoring Agency Name and Address
U.S. Department of Transportation |
13. Type of Report and Period Covered
Report; September 2020–July 2021 |
|||
14. Sponsoring Agency Code
HRSO-50 |
||||
15. Supplementary Notes
The government task manager was Hyungjun Park (0000-0002-6627-6857). |
||||
16. Abstract
The Federal Highway Administration (FHWA) and Traffic Analysis and Simulation Pooled Fund Study sponsored a research project on multiresolution modeling (MRM). The project intends to develop consistent definitions and a unified modeling framework for transportation professionals to help them better understand the opportunities and challenges associated with MRM. During the early stages of the project, stakeholders reported that the lack of available case studies presented a barrier to MRM adoption by transportation agencies. This case studies report provides a blueprint of the successful pilot studies conducted during and within the MRM project. The report also provides lessons learned for agencies to overcome barriers to MRM adoption. These findings will provide an important point for future advancement in the research, development, and application of MRM in transportation engineering. |
||||
17. Key Words
Multiresolution modeling, microscopic simulation, microsimulation, mesoscopic simulation, dynamic traffic assignment, travel demand model, activity-based model, simulation-based assignment, static assignment, traffic assignment, origin-destination matrix estimation |
18. Distribution Statement
No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161. |
|||
19. Security Classification (of this report) Unclassified |
20. Security Classification (of this page) Unclassified |
21. No. of Pages
101 |
22. Price
n/a |
Form DOT F 1700.7 (8-72) | Reproduction of completed page authorized |