U.S. Department of Transportation
Federal Highway Administration
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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-19-008 Date: January 2019 |
Publication Number: FHWA-HRT-19-008 Date: January 2019 |
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Transportation researchers and practitioners have access to unprecedented amounts of data but lack the tools to easily store, manipulate, and analyze these data. The Transportation Research Informatics Platform (TRIP) is an informatics-based system designed to manage massive amounts of transportation data and provide researchers an efficient way to conduct analytics on big data. The objectives of TRIP include creating the ability to handle massive amounts of transportation data; utilize open-source technologies and tools to ingest, store, align, and process data; accept structured, semistructured, and unstructured datasets from any source; provide an efficient way to query data without indepth knowledge of metadata; integrate with open-source and consumer off-the-shelf analytics products; and provide visualization tools to offer greater insights into data. TRIP architecture is flexible and built on open-source state-of-the-art technology developed with big data in mind. Although predominantly developed for transportation safety research, TRIP is domain agnostic and capable of addressing issues pertaining to operations and maintenance given the ingestion of the appropriate datasets.
This document chronicles the development of the platform and provides background information on the need for analytical tools. In addition, this document supplies the resources and instructions on how to set up an instance of the platform and how to operate it. This document will be useful for transportation researchers, operators, and data managers interested in working with large transportation datasets.
Brian P. Cronin, P.E.
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.
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Technical Report Documentation Page
1. Report No.
FHWA-HRT-19-008 |
2. Government Accession No.
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3 Recipient's Catalog No.
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4. Title and Subtitle
Applications of Knowledge Discovery in Massive Transportation Data: The Development of a Transportation Research Informatics Platform (TRIP) |
5. Report Date
January 2019 |
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6. Performing Organization Code
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7. Author(s)
Kevin Majka, Eric Nagler, Alex James, Alan Blatt, JohnPierowicz, Panagiotis Ch. Anastasopoulos (ORCID: 0000-0002-1555-3308), Grigorios Fountas (ORCID: 0000-0002-2373-4221) |
8. Performing Organization Report No.
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9. Performing Organization Name and Address
CUBRC |
10. Work Unit No. (TRAIS)
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11. Contract or Grant No.
DTFH6115C00016 |
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12. Sponsoring Agency Name and Address
Office of Corporate Research, Technology, and Innovation Management |
13. Type of Report and Period Covered
Final Report; April 2015–April 2018 |
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14. Sponsoring Agency Code
HRDS-2 |
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15. Supplementary Notes
James Pol (HRDS-2), Office of Safety Research and Development, served as the Technical Manager for the Federal Highway Administration. |
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16. Abstract
Transportation researchers and practitioners have access to unprecedented amounts of data but lack the tools to easily store, manipulate, and analyze these data. The Transportation Research Informatics Platform (TRIP) is an informatics-based system designed to manage massive amounts of transportation data and provide researchers an efficient way to conduct analytics on big data. The objectives of TRIP include creating the ability to handle massive amounts of transportation data; utilize open-source technologies and tools to ingest, store, align, and process data; accept structured, semistructured, and unstructured datasets from any source; provide an efficient way to query data without indepth knowledge of metadata; integrate with open-source and consumer off-the-shelf analytics products; and provide visualization tools to offer greater insights into data. TRIP architecture is flexible and built on open-source state-of-the-art technology developed with big data in mind. Although predominantly developed for transportation safety research, TRIP is domain agnostic and capable of addressing issues pertaining to operations and maintenance given the ingestion of the appropriate datasets. |
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17. Key Words
Informatics, analytics, big data, ingest, align, safety, operations, maintenance, visualization |
18. Distribution Statement
No restrictions. This document is available to the public 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
95 |
22. Price
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Form DOT F 1700.7 (8-72) | Reproduction of completed page authorized |