Application of support vector machine in a traffic lights control

Artur Całuch

arturcaluch@gmail.com
Lublin University of Technology (Poland)

Adam Cieślikowski


Lublin University of Technology (Poland)

Małgorzata Plechawska-Wójcik


Lublin University of Technology (Poland)

Abstract

This article presents the process of adapting support vector machine model’s parameters used for studying the effect of traffic light cycle length parameter’s value on traffic quality. The survey is carried out using data collected during running simulations in author’s traffic simulator. The article shows results of searching for optimum traffic light cycle length parameter’s value.


Keywords:

machine learning; traffic simulator; support vector machine

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Published
2020-03-30

Cited by

Całuch, A., Cieślikowski, A., & Plechawska-Wójcik, M. (2020). Application of support vector machine in a traffic lights control. Journal of Computer Sciences Institute, 14, 37–42. https://doi.org/10.35784/jcsi.1573

Authors

Artur Całuch 
arturcaluch@gmail.com
Lublin University of Technology Poland

Authors

Adam Cieślikowski 

Lublin University of Technology Poland

Authors

Małgorzata Plechawska-Wójcik 

Lublin University of Technology Poland

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