Poster abstract: Traffic flow prediction with big data: A deep learning based time series model-Reference-Cited by-同舟云学术

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Poster abstract: Traffic flow prediction with big data: A deep learning based time series model

Published:2017-05 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Chen Yuanfang,Shu Lei,Wang Lei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8106907/8116300/08116535.pdf?arnumber=8116535

Cited by 19 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. PURP: A Scalable System for Predicting Short-Term Urban Traffic Flow Based on License Plate Recognition Data;Big Data Mining and Analytics;2024-03

2. Predicting Uncertain Spatiotemporal XML Data Integrated With Grey Dynamic Model;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-12-15

3. K -STTN: Knowledge-induced Spatio- Temporal Transformer Networks for Traffic Forecasting;2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2023-10-26

4. Assessing the Suitability of Different Machine Learning Approaches for Smart Traffic Mobility;2023 IEEE Transportation Electrification Conference & Expo (ITEC);2023-06-21

5. The Composite Technique for Predicting Traffic Flow Based on Missing Traffic Information: A Review;2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N);2022-12-16

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