Emerging Data Science for Transit: Market Scan and Feasibility Analysis

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

doi:10.21949/1520704

i

Emerging Data Science for Transit: Market Scan and Feasibility Analysis

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

File Language:

English

Details

Creators:

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

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

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

https://rosap.ntl.bts.gov/view/dot/62542/dot_62542_DS1.pdf
File Type:

[PDF - 2.30 MB]
Collection(s):

Federal Transit Administration
Main Document Checksum:

urn:sha256:4d6a95ae12676356bab49931eeca7b9791a8ec15632c4ff67ab61e319bd9603b

File Language:

English

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