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A Novel Online Dynamic Temporal Context Neural Network Framework for the Prediction of Road Traffic Flow

  • Published:2019 Issue: Volume:7 Page:153533-153541
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Bartlett ZoeORCID,Han LiangxiuORCID,Nguyen Trung ThanhORCID,Johnson Princy

Funder

Manchester Metropolitan University

Liverpool John Moores University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 9 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. A multi-Layer CNN-GRUSKIP model based on transformer for spatial −TEMPORAL traffic flow prediction;Ain Shams Engineering Journal;2024-09

2. Real-Time Vehicular Traffic Flow Monitoring and Classification of Vehicles for Indian Road Scenario;2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC);2023-12-07

3. Recommendation of urban vehicle driving routes under traffic congestion: A traffic congestion regulation method considering road network equilibrium;Computers and Electrical Engineering;2023-09

4. Advancements in Machine Learning Techniques for Traffic Flow Prediction in Autonomous Vehicles: A Comprehensive Review;International Journal of Advanced Research in Science, Communication and Technology;2023-06-20

5. Intelligent Traffic Flow Prediction Model Based on Deep Neural Network;Lecture Notes on Data Engineering and Communications Technologies;2023
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