Forecasting of Traffic Flow Using Feature Selection with ML Model-Reference-Cited by-同舟云学术

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Forecasting of Traffic Flow Using Feature Selection with ML Model

Published:2023-07-28 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Data Science and Network Security (ICDSNS)
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Author:

Kumar Pareek Piyush¹,K Vidyalakshmi²,S Nayana³,G Gangambika³,H A Deepak⁴

Affiliation:

1. Nitte Meenakshi Institute of Technology,Department of Artificial Intelligence and Machine Learning,Bengaluru,India

2. Sri Siddhartha Institute of Technology,Department of Information Science and Engineering,Tumakuru,India

3. East West Institute of Technology,Department of Computer Science and Engineering,Bengaluru,India

4. Navkis College of Engineering,Department of Electronics and Communication Engineering,Hassan,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244768/10244782/10245394.pdf?arnumber=10245394

Reference29 articles.

1. A New Hybrid Deep Learning Algorithm for Prediction of Wide Traffic Congestion in Smart Cities

2. Research on Air Traffic Flow Forecast Based on ELM Non-Iterative Algorithm

3. An Adaptive Cluster based Vehicular Routing Protocol for Secure Communication

4. Short-Term Traffic Flow Prediction of Expressway: A Hybrid Method Based on Singular Spectrum Analysis Decomposition

5. Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow Relationships

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