Emerging Data Science for Transit: Market Scan and Feasibility Analysis

Perlman, David; Tufte, Kristin; Flint, Lafcadio; Reel, Tara; John A. Volpe National Transportation Systems Center (U.S.)

doi:10.21949/1520704

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Emerging Data Science for Transit: Market Scan and Feasibility Analysis

2022-06-01
By Perlman, David ; Tufte, Kristin ; Flint, Lafcadio ; ...

[PDF-2.30 MB]

English

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Details:

Creators:

Perlman, David ; Tufte, Kristin ; Flint, Lafcadio ; Reel, Tara

Perlman, David ; Tufte, Kristin ; Flint, Lafcadio ; Reel, Tara Less -
Corporate Creators:

John A. Volpe National Transportation Systems Center (U.S.)
Corporate Contributors:

United States. Department of Transportation. Federal Transit Administration
Subject/TRT Terms:

[+]

Analysis Data Data Science Innovation Machine Learning Transit Operating Agencies
Publication/ Report Number:

FTA Report No. 0218
DOI:

https://doi.org/10.21949/1520704
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final
Corporate Publisher:

United States. Department of Transportation. Federal Transit Administration
Abstract:

This report describes the state of the practice in the use of emerging data science tools and methodologies among U.S. transit agencies. It identifies commonalities in the tools and methods being used, as well as in the types of problems that agencies are seeking to solve using increasingly advanced data science approaches.
Format:

PDF
Collection(s):

Federal Transit Administration
Main Document Checksum:

[+]

urn:sha256:4d6a95ae12676356bab49931eeca7b9791a8ec15632c4ff67ab61e319bd9603b
Download URL:

https://rosap.ntl.bts.gov/view/dot/62542/dot_62542_DS1.pdf
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Emerging Data Science for Transit: Market Scan and Feasibility Analysis

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