Spatio-temporal parking occupancy forecasting integrating parking sensing records and street-level images-Reference-Cited by-同舟云学术

Spatio-temporal parking occupancy forecasting integrating parking sensing records and street-level images

Published:2023-04 Issue: Volume:118 Page:103290
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Gong Shuhui^ORCID,Qin Jiaxin,Xu Haibo,Cao Rui^ORCID,Liu Yu,Jing Changfeng^ORCID,Hao Yuxiu,Yang Yuchen^ORCID

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Hong Kong Polytechnic University

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference37 articles.

1. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research;Agatonovic-Kustrin;J. Pharm. Biomed. Anal.,2000

2. Parking lot occupancy prediction using long short-term memory and statistical methods;Avşar;MANAS J. Eng.,2022

3. Learning long-term dependencies with gradient descent is difficult;Bengio;IEEE Trans. Neural Netw.,1994

4. Time-domain characteristics of residential parking and SEM-BL integration model of parking method choice behaviour;Chao;Math. Probl. Eng.,2022

5. Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation;Chen;Int. J. Appl. Earth Obs. Geoinf.,2022

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Collaborative Parking Vacancy Prediction for Cities With Partial Sensors Missing;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. Integrating trajectory data and demographic characteristics: a trajectory semantic model for predicting travel flow and conducting interaction analysis;International Journal of Digital Earth;2024-08-30

3. A physics-informed graph learning approach for citywide electric vehicle charging demand prediction and pricing;Applied Energy;2024-06

4. Self-paced Gaussian-based graph convolutional network: predicting travel flow and unravelling spatial interactions through GPS trajectory data;International Journal of Digital Earth;2024-05-20

5. Intelligent parking space management: a binary classification approach for detecting vacant spots;Multimedia Tools and Applications;2024-03-22