This article is cited in 11 papers

NUMERICAL METHODS AND DATA ANALYSIS

A deterministic predictive traffic signal control model in intelligent transportation and geoinformation systems

V. V. Myasnikov^ab, A. A. Agafonov^a, A. S. Yumaganov<sup>a

a</sup> Samara National Research University
^b Image Processing Systems Institute of the RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Samara, Russia, Samara

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.

Keywords: data analysis, intelligent transportation system, traffic light control, deterministic model, reinforcement learning, connected and autonomous vehicles

Received: 25.08.2021
Accepted: 07.09.2021

DOI: 10.18287/2412-6179-CO-1031