Spatiotemporal Hotspot Pattern Analysis of Air Travel Passengers with Long Short-Term Memory Networks-Reference-Cited by-同舟云学术

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Spatiotemporal Hotspot Pattern Analysis of Air Travel Passengers with Long Short-Term Memory Networks

Published:2023-12-15 Issue: Volume:20 Page:681-686
ISSN:
Container-title:2023 4th International Conference on Computer, Big Data and Artificial Intelligence (ICCBD+AI)
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Author:

Zhang Kun¹,Zhang HuiRu¹,Huo Song²

Affiliation:

1. China Airport Planning and Design Institute Co., Ltd,Beijing,China

2. China Civil Aviation Engineering Consulting Co., Ltd,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550187/10550956/10551170.pdf?arnumber=10551170

Reference13 articles.

1. Research review of shipping management[J];Tian-tian;Journal of Traffic and Transportation Engineering,2020

2. Multi-network integrated traffic analysis model and algorithm of comprehensive transportation system[J];Wei;Journal of Traffic and Transportation Engineering,2021

3. Short-time Passenger Flow Prediction Model of Urban Rail Transit Considering Multi-timescale Features[J];Wen-juan;Journal of Transportation Systems Engineering and Information Technology,2022

4. Multimodal learning with deep boltzmann machines;Srivastava;Advances in Neural Information Processing Systems,2012

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