Short-Term Rental Forecast of Urban Public Bicycle Based on the HOSVD-LSTM Model in Smart City
As a kind of transportation in a smart city, urban public bicycles have been adopted by major cities and bear the heavy responsibility of the “last mile” of urban public transportation. At present, the main problem of the urban public bicycle system is that it is difficult for users to rent a bike d...
Main Authors: | Dazhou Li, Chuan Lin, Wei Gao, Zihui Meng, Qi Song |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/11/3072 |
Similar Items
-
HOSVD-Based Algorithm for Weighted Tensor Completion
by: Zehan Chao, et al.
Published: (2021-07-01) -
Multi-Behavior with Bottleneck Features LSTM for Load Forecasting in Building Energy Management System
by: Van Bui, et al.
Published: (2021-04-01) -
Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks
by: Akylas Stratigakos, et al.
Published: (2021-07-01) -
Detection and Denoising of Microseismic Events Using Time–Frequency Representation and Tensor Decomposition
by: Naveed Iqbal, et al.
Published: (2018-01-01) -
Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks
by: Faraz Malik Awan, et al.
Published: (2020-07-01)