Gergely Hollósi, Csaba Lukovszki, Máté Bancsics, and Gábor Magyar

Traffic Swarm Behaviour: Machine Learning and Game Theory in Behaviour Analysis

High density traffic on highways and city streets consists of endless interactions among participants. These interactions and the corresponding behaviours have great impact not only on throughput of traffic but also on safety, comfort and economy. Because of this, there is a great interest in deeper understanding of these interactions and concluding the impacts on traffic participants. This paper explores and maps the world of traffic behaviour analysis, especially researches focusing on groups of vehicles called traffic swarm, while presents the state-of-the-art methods and algorithms. The conclusion of this paper states that there are special areas of traffic behaviour analysis which have great research potential in the near future to describe traffic behaviour in more detail than present methods.

Reference:

DOI: 10.36244/ICJ.2021.4.3

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Please cite this paper the following way:

Gergely Hollósi, Csaba Lukovszki, Máté Bancsics, and Gábor Magyar, "Traffic Swarm Behaviour: Machine Learning and Game Theory in Behaviour Analysis", Infocommunications Journal, Vol. XIII, No 4, December 2021, p. 19-27., https://doi.org/10.36244/ICJ.2021.4.3