FOREWORD
The Federal Highway Administration’s (FHWA) Highway Safety Improvement Program (HSIP) is a data driven program that relies on crash, roadway, and traffic data for States to conduct effective analyses for problem identification and evaluation. The FHWA developed the Model Inventory of Roadway Elements (MIRE) to provide a recommended listing and data dictionary of roadway and traffic data elements critical to supporting highway safety management programs. MIRE is intended to help support the States’ HSIPs and other safety programs.
The MIRE Management Information System (MIRE MIS) was a project to explore better means of collection MIRE data elements, using and integrating MIRE data, and identifying optimal data file structures. The resulting products include a report documenting the MIRE MIS Lead Agency Program, a MIRE Guidebook on the collection of MIRE, a suggested MIRE data file structure report, and a report on Performance Measures to Assess Quality that will assist the States in conducting a more effective safety program. The intent of the MIRE MIS project is the integration of MIRE into States’ safety management processes.
The Exploration of the Application of Collective Information to Transportation Data for Safety White Paper is one of the products of the MIRE MIS effort. This White Paper explores the relatively new technique of collective information as a means of gathering data needed for transportation safety. Collective information is a process of assembling or gathering information on a subject through the use of a large, disperse, and potentially uncontrolled group of people. This White Paper also examines current uses of collective information and potential next steps for this process to support the collection of transportation data.
Michael S. Griffith Director, Office of Safety Technologies |
Monique R. Evans Director, Office of Safety Research and Development |
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.
TECHNICAL DOCUMENTATION PAGE
1. Report No. FHWA-SA-13-006 |
2. Government Accession No. |
3. Recipient's Catalog No. | |
4. Title and Subtitle Exploration of the Application of Collective Information to Transportation Data for Safety White Paper |
5. Report Date January 2013 |
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6. Performing Organization Code | |||
7.Author(s) Kim Eccles, Greg Bosworth, and Nancy Lefler |
8. Performing Organization Report No. | ||
9. Performing Organization Name and Address Vanasse Hangen Brustlin, Inc. (VHB) 8300 Boone Blvd., Suite 700 Vienna, VA 22182-2626 |
10. Work Unit No. | ||
11. Contract or Grant No. DTFH61-05- D-00024 (VHB) | |||
12. Sponsoring Agency Name and Address Federal Highway Administration Office of Safety 1200 New Jersey Ave., SE Washington, DC 20590 |
13. Type of Report and Period Final Report, June 2012 - January 2013 |
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14. Sponsoring Agency Code FHWA |
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15. Supplementary Notes The contract managers for this report were Robert Pollack (HSA) and Dr. Carol Tan (HRDS-20). |
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16. Abstract The objective of this White Paper is to explore the application of collective information in transportation data, particularly in the collection and management of MIRE data. Collective information is the process of assembling data or collecting information on a subject using a large, disperse, and potentially uncontrolled group of people. The intent of the paper is to introduce this concept to the transportation community and provide a starting point for discussions on the application and feasibility of using collective information for transportation safety data, particularly for the MIRE elements. This paper also discusses the potential next steps and future applications of this concept. |
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17. Key Words: Safety data, MIRE, collective data, roadway data collection |
18. Distribution Statement No restrictions. |
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19. Security Classif. (of this report) Unclassified | 20. Security Classif. (of this page) Unclassified | 21. No. of Pages 20 |
22. Price |
Form DOT F 1700.7 (8-72) Reproduction of completed pages authorized
SI (Modern Metric) Conversion Factors
For More Information
Visit https://www.fhwa.dot.gov/safety/data-analysis-tools/rsdp
FHWA, Office of Safety
Robert Pollack robert.pollack@dot.gov 202-366-5019 |
Carol Tan, PhD carol.tan@dot.gov 202-493-3315 |
FHWA-SA-13-006