A Synthesis on Data Mining Methods and Applications for Automated Fare Collection (AFC) Data [Summary]

Jin, Xia; Florida International University

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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A Synthesis on Data Mining Methods and Applications for Automated Fare Collection (AFC) Data [Summary]

2022-05-01
By Jin, Xia

English

Details You May Also Like

Details:

Creators:

Jin, Xia
Corporate Creators:

Florida International University
Corporate Contributors:

Florida. Department of Transportation. Research Center
Subject/TRT Terms:

[+]

Automatic Fare Collection Data Analysis Data Collection Data Mining Literature Reviews
Resource Type:

Brief
Geographical Coverage:

United States
Contracting Officer:

Jeffries, Ken
Corporate Publisher:

Florida. Department of Transportation. Research Center
Abstract:

Florida International University researchers performed a comprehensive review of the literature to provide an overview of existing knowledge and experience in utilizing AFC data, as found in practice and in research.
Format:

PDF
Funding:

BDV29-977-55
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:b5132aa71f07af719ef8995581f6ce4d3c5d0c9d2c8c536658004bebf4b39a08
Download URL:

https://rosap.ntl.bts.gov/view/dot/61859/dot_61859_DS1.pdf
File Type:

[PDF-288.93 KB]