A deep learning approach for TNC trip demand prediction considering spatial-temporal features : preprint / Yi Hou [and four others].
Series InformationConference paper (National Renewable Energy Laboratory (U.S.)) ; 5400-72704.
- Physical Description: 1 online resource (7 pages) : color illustrations, color map.
- Publisher: Golden, CO : National Renewable Energy Laboratory, 2019.
"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, etc. Note:||
Includes bibliographical references (7 pages).
|Funding Information Note:||
|Source of Description Note:||
Description based on online resource, PDF version; title from title page (NREL, viewed Mar. 8, 2019).
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|Subject:||National Research Council (U.S.). Transportation Research Board. Annual Meeting.