Research on Real-time Identification of Traffic States at the Network Level Based on Knowledge Distillation-Reference-Cited by-同舟云学术

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Research on Real-time Identification of Traffic States at the Network Level Based on Knowledge Distillation

Published:2024-01-19 Issue: Volume:42 Page:491-498
ISSN:
Container-title:Proceedings of the 2024 3rd International Conference on Cryptography, Network Security and Communication Technology
language:
Short-container-title:

Author:

Zhao Zhenxing¹^ORCID,Zeng Wei¹^ORCID,Tang Chenjia¹^ORCID

Affiliation:

1. Huazhong University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673277.3673361

Reference14 articles.

1. Traffic state discrimination based on factor analysis and improved K-means clustering;Gao Y.;Journal of Qingdao University of Technology,2021

2. Traffic state discrimination method and simulation of road network based on MFD and spectral clustering;Wei W.;Modern Information Technology,2020

3. A fuzzy-based system for incident detection in urban street networks

4. Road traffic congestion detection through cooperative Vehicle-to-Vehicle communications

5. Traffic state recognition based on speed fluctuation characteristics of floating car;Cheng W.;Journal of Transportation Systems Engineering & Information Technology,2023

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