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Using Machine Learning Techniques to Incorporate Social Priorities in Traffic Monitoring in a Junction with a Fast Lane Cover

Using Machine Learning Techniques to Incorporate Social Priorities in Traffic Monitoring in a Junction with a Fast Lane

Transport and Telecommunication Journal
Volume 24 (2023): Issue 1 (February 2023)
By: Orly Barzilai,  Havana Rika,  Nadav Voloch,  Maor Meir Hajaj,  Orna Lavi Steiner and  Niv Ahituv  
Open Access
|Feb 2023

Authors

Orly Barzilai

orlyba@mta.ac.il

Information Systems Department, The Academic College of Tel Aviv-Yaffo, Yaffo, Israel

Havana Rika

Information Systems Department, The Academic College of Tel Aviv-Yaffo, Yaffo, Israel

Nadav Voloch

Computer Science Department, Ben-Gurion University of the Negev Beer-Sheva, Israel

Maor Meir Hajaj

Information Systems Department, University of Haifa, Haifa, Israel

Orna Lavi Steiner

Industrial Engineering and Management Department, Ruppin Academic Center Emek Hefer, Israel

Niv Ahituv

Coller School of Management, Tel Aviv University, and Peres Academic Center Rehovot, Tel Aviv
DOI: https://doi.org/10.2478/ttj-2023-0001 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 1 - 12
Published on: Feb 28, 2023
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
smart junction,
Internet of Things,
real-time algorithms,
social dilemmas in traffic control,
machine learning,
Reinforcement Learning
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2023 Orly Barzilai, Havana Rika, Nadav Voloch, Maor Meir Hajaj, Orna Lavi Steiner, Niv Ahituv, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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