• Big Data and the Future of Tra...

Treffer: Big Data and the Future of Travel Modeling

Title:
Big Data and the Future of Travel Modeling
Authors:
Macfarlane, Greg
Source:
PSU Transportation Seminars
Publisher Information:
PDXScholar
Publication Year:
2017
Collection:
Portland State University: PDXScholar
Subject Terms:
Choice of transportation -- Decision making, Traffic flow -- Forecasting -- Data processing, Transportation -- Planning -- Technological innovations, Transportation Engineering, Urban Studies and Planning
Document Type:
Fachzeitschrift text
File Description:
application/pdf
Language:
unknown
Relation:
https://pdxscholar.library.pdx.edu/trec_seminar/112; https://pdxscholar.library.pdx.edu/context/trec_seminar/article/1112/viewcontent/bigdataandthefutureoftravelmodeling_macfarlane_170303234254.pdf
Availability:
https://pdxscholar.library.pdx.edu/trec_seminar/112
https://pdxscholar.library.pdx.edu/context/trec_seminar/article/1112/viewcontent/bigdataandthefutureoftravelmodeling_macfarlane_170303234254.pdf
Accession Number:
edsbas.A92AF2D6
Database:
BASE

Weitere Informationen

New technologies such as smart phones and web applications constantly collect data on individuals' trip-making and travel patterns. Efforts at using these "Big data" products, to date, have focused on using them to expand or inform traditional travel demand modeling frameworks; however, it is worth considering if a new framework built to maximize the strengths of big data would be more useful to policy makers and planners. In this presentation Greg Macfarlane will present a discussion on elements of travel models that could quickly benefit from big data and concurrent machine learning techniques, and results from a preliminary application of a prototype framework in Asheville, North Carolina. ; https://pdxscholar.library.pdx.edu/trec_seminar/1112/thumbnail.jpg