Parking Occupancy Prediction Method Based on Multi Factors and Stacked GRU-LSTM

Parking Occupancy Prediction Method Based on Multi Factors and Stacked GRU-LSTM

With the development of society and the continuous advancement of urbanization, motor vehicles have increased rapidly, which exacerbates the imbalance between parking supply and demand. Therefore, it is very important to excavate knowledge from historical parking data and forecast the parking volume...

Full description

Bibliographic Details
Main Authors: Chao Zeng, Changxi Ma, Ke Wang, Zihao Cui
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
multi factors
parking occupancy
time series prediction
stacked GRU-LSTM
Online Access:https://ieeexplore.ieee.org/document/9765513/

Internet

https://ieeexplore.ieee.org/document/9765513/

Similar Items