Analysis, Modeling, and Simulation for Traffic Incident Management Applications
Foreword
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. This report does not constitute a standard, specification, or regulation.
The U.S. Government does not endorse products or manufacturers. Trademarks or manufacturers’ names may 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.
Technical Report Documentation Page
1. Report No.
FHWA-HOP-12-045 |
2. Government Accession No. |
3. Recipient’s Catalog No. |
4. Title and Subtitle
Analysis, Modeling, and Simulation for Traffic Incident Management Applications |
5. Report Date
July 2012 |
6. Performing Organization Code |
7. Author(s)
Richard Margiotta, Rick Dowling, and Jawad Paracha |
8. Performing Organization Report No. |
9. Performing Organization Name and Address
Cambridge Systematics, Inc.
4800 Hampden Lane
Bethesda, MD 20814 |
10. Work Unit No. (TRAIS) |
11. Contract or Grant No.
DTFG-61-D-00004 |
12. Sponsoring Agency Name and Address
U.S. Department of Transportation
Federal Highway Administration
Office of Operations (HOP)
1200 New Jersey Avenue, SE
Washington, DC 20590 |
13. Type of Report and Period Covered
Final Report, July, 2012 |
14. Sponsoring Agency Code
HOTO |
15. Supplementary Notes
FHWA Contracting Officer’s Task Manager (COTM): Jawad Paracha |
16. Abstract
Traffic incidents are a major source of congestion in both urban and rural areas. Nationally, roughly 25 percent of total congestion is due to traffic incidents. Further, traffic incidents create unexpected congestion – congestion that occurs in times and places where travelers don’t expect to be delayed – and are therefore a major source of frustration for travelers.
Implementing Traffic Incident Management (TIM) strategies has proven to be a highly cost-effective way of treating congestion problems. However, a strong need exists to be able to predict what the impacts of TIM strategies will be at the planning stage of project development and to monitor the effects of TIM programs.
To support modeling and evaluation of TIM strategies, this document provides a synthesis of analysis, modeling, and simulation (AMS) methods for incident impacts. The focus is on incidents effects on congestion and reliability as well as secondary incidents, for the purpose of estimating benefits and evaluating programs and proposed strategies. This document covers several specific topics including: a synthesis of AMS methods for incidents, TIM AMS application areas, data required to undertake modeling and evaluations of TIM strategies, and identification of future improvements to TIM AMS applications. |
17. Key Words
Traffic incident management, modeling, simulation, performance measures TIM |
18. Distribution Statement
No restrictions. |
19. Security Classif. (of this report)
Unclassified |
20. Security Classif. (of this page)
Unclassified |
21. No of Pages
54 |
22. Price
N/A |
Form DOT F 1700.7 (8-72) Reproduction of completed pages authorized