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Dynamic Traveling Route Planning Method for Intelligent Transportation Using Incremental Learning-Based Hybrid Deep Learning Prediction Model with Fine-Tuning Cover

Dynamic Traveling Route Planning Method for Intelligent Transportation Using Incremental Learning-Based Hybrid Deep Learning Prediction Model with Fine-Tuning

Transport and Telecommunication Journal
Volume 23 (2022): Issue 4 (November 2022)
By: Shridevi Jeevan Kamble and  Manjunath R. Kounte  
Open Access
|Nov 2022

Authors

Shridevi Jeevan Kamble

Shridevi.havanoor@gmail.com

School of ECE, REVA University Bangalore, India

Manjunath R. Kounte

Manjunath.kounte@gmail.com

School of ECE, REVA University Bangalore, India
DOI: https://doi.org/10.2478/ttj-2022-0024 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 293 - 310
Published on: Nov 16, 2022
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Vehicular Ad-Hoc Network (VANET),
Traffic and Timing Dataset (TDD),
Incremental Learning,
Hybrid Learning Model,
Real-time Traveling Route Prediction
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2022 Shridevi Jeevan Kamble, Manjunath R. Kounte, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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