Behavioral/Agent-Based Supply Chain Modeling Research Synthesis and Guide
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Contact Information: Operations Feedback at OperationsFeedback@dot.gov
U.S. Department of Transportation
Federal Highway Administration
Office of Operations
1200 New Jersey Avenue, SE
Washington, DC 20590
FHWA-HOP-18-003
March 2018
Notice
This document is disseminated under the sponsorship of the U.S. Department of Transportation 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.
Quality Assurance Statement
The Federal Highway Administration (FHWA) provides high-quality information to serve Government, industry, and the public in a manner that promotes public understanding. Standards and policies are used to ensure and maximize the quality, objectivity, utility, and integrity of its information. FHWA periodically reviews quality issues and adjusts its programs and processes to ensure continuous quality improvement.
Foreword
The Federal Highway Administration (FHWA) Office of Operations in cooperation with the Office of Infrastructure is pleased to present this publication titled “Use of Freeway Shoulders for Travel - Guide for Planning, Evaluating, and Designing Part-Time Shoulder Use as a Traffic Management Strategy” (Shoulder Use Guide).
As defined in this Guide, part-time shoulder use converts paved roadside shoulders to an area used for travel during portions of the day as a congestion relief strategy. It is sometimes known as temporary shoulder use or hard shoulder running, and is typically implemented on freeways. When evaluated as part of a Performance-Based Practical Design (http://www.fhwa.dot.gov/design/pbpd/) alternative, part-time shoulder use can be a cost-effective solution to improving operations and safety by providing additional capacity when it is needed most, while preserving the use of a shoulder as a refuge area during the majority of the day. In some cases, shoulder use applications can serve as an interim solution to highway capacity constraints while agencies further study and / or acquire the necessary resources for adding general purpose travel lanes.
Part-time shoulder use is a common practice in some European countries and has been gaining interest in the U.S. There are currently over 30 shoulder use installations in operation across the country covering 14 states. While there is much variety in these applications, the most frequent approach to date is the use of freeway shoulders by transit vehicles during peak period times of the day. Despite the growing interest, there is a lack of guidance and standards to help practitioners through the process of evaluating potential shoulder use implementations.
Based on interviews with agencies that have deployed shoulder use treatments, interviews with Federal Highway Administration subject matter experts, and research on relevant safety and operations effects and analytical techniques, this Guide synthesizes information and best practices. While questions remain in some areas of the Guide and more experience with shoulder use and additional research is needed to provide more specific direction to practitioners, this Guide outlines a process and covers a range of issues including planning, design, implementation, and day-to-day operation that will help agencies advance shoulder use concepts in their states in a more consistent manner.
The FHWA Office of Operations is supporting this Guide through workshops and related technical assistance. If you have any comments on this material, seek further assistance, or wish to discuss opportunities for hosting a workshop, please contact Jim Hunt jim.hunt@dot.gov or Greg Jones GregM.Jones@dot.gov from the Office of Operations or Robert Mooney Robert.Mooney@dot.gov from the Office of Infrastructure.
Robert Arnold
Director Office of Transportation Management
Office of Operations, FHWA
Tom Everett
Director Office of Program Administration
Office of infrastructure, FHWA
Technical Documentation Page
1. Report No.
Publication #: FHWA-HOP-18-003
|
2. Government Accession No.
|
3. Recipient's Catalog No.
|
4. Title and Subtitle
Behavioral/Agent-Based Supply Chain Modeling Research Synthesis and Guide |
5. Report Date
January 2018 |
6. Performing Organization Code
FHWA-HOFM |
7. Author(s)
Kaveh Shabani, RSG
Maren Outwater, RSG
Daniel Murray, ATRI
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8. Performing Organization Report No.
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9. Performing Organization Name and Address
RSG
55 Railroad Row
White River Junction, VT 05001
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10. Work Unit No. (TRAIS) |
11. Contract or Grant No.
DTFH61-12-D-00049 |
12. Sponsoring Agency Name and Address
United States Department of Transportation
Federal Highway Administration (FHWA) Office of Operations
1200 New Jersey Avenue, SE
Washington, DC 20590
|
13. Type of Report and Period Covered
Final Report |
14. Sponsoring Agency Code
HOFM |
15. Supplementary Notes
This project was performed by RSG and American Transportation Research Institute with Kittelson & Associates, Inc. support
Project Title: Behavioral/Agent-Based Supply Chain Modeling Research Synthesis and Guidance Document |
16. Abstract
There are now a handful of public agencies in the United States that have developed, or are in the process of developing, behavioral/agent-based models of supply chain decisions and freight movements, due in part to funding from FHWA Broad Agency Announcement awards and the SHRP2 C20 program. This guidance document provides a vital role in ensuring that the experiences of early adopters are more widely disseminated, thereby enabling other public agencies to develop similar models, or at least assess their feasibility. |
17. Key Words
Supply Chain, Freight Modeling, Behavioral, Commodity Flow |
18. Distribution Statement
No restrictions. |
19. Security Classification (of this report)
Unclassified |
20. Security Classification (of this page)
Unclassified |
21. No of Pages
150 |
22. Price |
Form DOT F 1700.7 (8-72)
Reproduction of completed page authorized.
Table of Contents
List of Figures
- Figure E-1. Behavioral Supply Chain Modeling Process.
- Figure 2. Behavioral Supply Chain Modeling Process.
- Figure 3. Supplier Firm Selection Model Process.
- Figure 4. Commodity Flow Allocation Model.
- Figure 5. Distribution Channels.
- Figure 6. Distribution Channel Model Process.
- Figure 7. Shipment Size and Frequency Model Process.
- Figure 8. Mode and Intermediate Transfer Model Process.
- Figure 9. Truck-Touring Model Steps.
- Figure 10. FAF Domestic Zones.
- Figure 11. FAF International Zones.
- Figure 12. CMAP National-Scale Supply Chain Model Process.
- Figure 13. CMAP Regional-Scale Truck-Touring Model Process.
- Figure 14. CMAP Statewide TAZs.
- Figure 15. CMAP Regional TAZs.
- Figure 16. FreightSIM National Supply Chain Model Structure.
- Figure 17. FAF Zones and Counties In Florida, Georgia, and Alabama.
- Figure 18. Statewide Traffic Zone System (Florida, Georgia, and Alabama).
- Figure 19. Wisconsin Freight Model Structure.
- Figure 20. Individual Components Of The Proposed Behavior-Based Freight Model.
- Figure 21. MAG Behavior-Based Supply Chain and Freight Transportation Framework.
- Figure 22. Sun Corridor Megaregion.
- Figure 23. MAG Freight Model Zone System.
- Figure 24. SWIM Overall Model Structure.
- Figure 25. SWIM modeled area zone system.
- Figure 26. MSTM and BMC Model System.
- Figure 27. Components of the Supply Chain Model, SHA/BMC Model.
- Figure 28. SHA/BMC Model Zone System, North American Extent of MSTM Zones.
- Figure 29. SHA/BMC Model Zone System, Maryland, and HALO Extent of MSTM Zones.
- Figure 30. SHA/BMC Model Zone System, Extent of BMC Regional Zones.
- Figure 31. Metro Supply Chain Model Structure.
- Figure 32. Metro Model Zone System, North American Extent.
- Figure 33. Metro Model Zone System, Oregon and Surrounding States.
- Figure 34. Metro Model Zone System, Metro Model Region.
- Figure 35. Two Examples of Phasing with a Commercial Vehicle Survey.
- Figure 36. Two Examples of Phasing, by Model System Component.
- Figure 37. Example of Peak-Hour Congestion.
List of Tables