An intelligent traffic congestion detection approach based on fuzzy inference system-Reference-Cited by-同舟云学术

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An intelligent traffic congestion detection approach based on fuzzy inference system

Published:2021-05-19 Issue: Volume: Page:
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Container-title:2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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Author:

Amini Mehran,Hatwagner Miklos F.,Mikulai Gergely Cs.,Koczy Laszlo T.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9465482/9465540/09465637.pdf?arnumber=9465637

Cited by 16 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. Fuzzy adaptive cruise control with model predictive control responding to dynamic traffic conditions for automated driving;Engineering Applications of Artificial Intelligence;2024-10

2. Comparative Analysis of Machine Learning Algorithms in Traffic Mainstream Control on Freeway Networks;2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES);2024-07-17

3. Real-Time Traffic Congestion Detection Technology in Intelligent Transportation Systems;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

4. Artificial Intelligence Powered Congestion Free Transportation System Through Extensive Simulations;Journal of Machine and Computing;2024-01-05

5. Reinforcement Learning-Based Dynamic Zone Positions for Mixed Traffic Flow Variable Speed Limit Control with Congestion Detection;Machines;2023-11-28

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