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A deep learning approach for TNC trip demand prediction considering spatial-temporal features : preprint / Yi Hou [and four others].

Author
Hou, Yi
Additional Titles
Deep learning approach for transportation network companies trip demand prediction considering spatial-temporal features
Published
Golden, CO : National Renewable Energy Laboratory, 2019.
Physical Description
1 online resource (7 pages) : color illustrations, color map
Additional Creators
National Renewable Energy Laboratory (U.S.)
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Series
Restrictions on Access
Free-to-read Unrestricted online access
Report Numbers
E 9.17:NREL/CP-5400-72704
Subject(s)
Note
"Presented at Transportation Research Board (TRB) 98th Annual Meeting Washington, D.C., January 13-17, 2019."
"NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy, Operated by the Alliance for Sustainable Energy, LLC."
Bibliography Note
Includes bibliographical references (7 pages).
Funding Information
DE-AC36-08GO28308
Action Note
committed to retain. Federal Depository Library Program (FDLP). For information on our retention commitment, please contact Microforms and Government Information.
View MARC record | catkey: 26484637