Machine Learning Applications in Vehicular Traffic Prediction and Congestion Control: A Systematic Review-Reference-Cited by-同舟云学术

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Machine Learning Applications in Vehicular Traffic Prediction and Congestion Control: A Systematic Review

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Electronics, Communication and Aerospace Technology
language:
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Author:

Johny Cecil¹,Dahiya Vishal¹

Affiliation:

1. Indus University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009019/10009048/10009384.pdf?arnumber=10009384

Reference20 articles.

1. Optimization of Traffic Flow within an Urban Traffic Light Intersection with Genetic Algorithm

2. Development of traffic light control system based on fuzzy logic

3. Accurate Multisteps Traffic Flow Prediction Based on SVM

4. Real-time freeway traffic state estimation based on extended Kalman filter: Adaptive capabilities and real data testing

5. Macroscopic traffic flow modeling with physics regularized Gaussian process: A new insight into machine learning applications in transportation

Cited by 1 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. Traffic Condition Prediction for Urban and Highway Scenarios using Artificial Intelligence;2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2023-04-29

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