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

被引：3
|
作者：
Myasnikov, V. V. [1 ,2 ]
Agafonov, A. A. [1 ]
Yumaganov, A. S. [1 ]
机构：
[1] Samara Natl Res Univ, Moskovskoye Shosse 34, Samara 443086, Russia
[2] RAS, Branch FSRC Crystallog & Photon, IPSI, Molodogvardeyskaya 151, Samara 443001, Russia
来源：
COMPUTER OPTICS | 2021年 / 45卷 / 06期
基金：
俄罗斯科学基金会;
关键词：
data analysis; intelligent transportation system; traffic light control; deterministic model; reinforcement learning; connected and autonomous vehicles; ALGORITHMS;
D O I：
10.18287/2412-6179-CO-1031
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
引用
收藏
页码：917 / +
页数：11
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