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Applications of Knowledge Discovery in Massive Transportation Data: The Development of a Transportation Research Informatics Platform (TRIP).

Majka, K.; Nagler, E.; James, A.; Blatt, A.; Pierowicz, John; Anastasopoulos, P. Ch.; Fountas, Grigorios

Authors

K. Majka

E. Nagler

A. James

A. Blatt

John Pierowicz

P. Ch. Anastasopoulos



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 opensource 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.

Citation

Majka, K., Nagler, E., James, A., Blatt, A., Pierowicz, J., Anastasopoulos, P. . C., & Fountas, G. (2019). Applications of Knowledge Discovery in Massive Transportation Data: The Development of a Transportation Research Informatics Platform (TRIP). Federal Highway Administration

Report Type Technical Report
Acceptance Date Sep 1, 2017
Publication Date 2019-01
Deposit Date Sep 24, 2018
Publicly Available Date Feb 6, 2019
Pages 95
Keywords Informatics, analytics, big data, ingest, align, safety, operations, maintenance, visualization,
Public URL http://researchrepository.napier.ac.uk/Output/1304701
Additional Information Publication number: FHWA-HRT-19-008
Contract Date Feb 6, 2019

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Copyright Statement
No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161. http://www.ntis.gov






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