Open AccessMulti-Source Information Based Short-term Taxi Demand Prediction Using Deep-Learning Approaches
Author(s) -
Ziyan Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2033/1/012167
Subject(s) - computer science , popularity , deep learning , convolutional neural network , taxis , term (time) , artificial intelligence , demand patterns , service (business) , supply and demand , demand forecasting , public transport , operations research , machine learning , demand management , transport engineering , engineering , psychology , social psychology , physics , economy , quantum mechanics , economics , macroeconomics , microeconomics