Author:
Myasnikov V.V., ,Agafonov A.A.,Yumaganov A.S., , ,
Abstract
In this paper, we propose a traffic signal control method in intelligent transportation and geoinformation systems, based on a deterministic predictive model. The method provides adaptive control based on traffic data, including data from connected and autonomous vehicles. The proposed method is compared with the state-of-the-art traffic signal control solutions: empirical control algorithms and reinforcement learning-based control methods. An advantage of the proposed method is shown and directions of further research are outlined.
Funder
Russian Science Foundation
Publisher
Samara National Research University
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Cited by
8 articles.
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