Application of Deep Reinforcement Learning for Traffic Control of Road Intersection with Emergency Vehicles

被引：2

作者：

Benedetti, Giuseppe ^{[1
]}

Fanti, Maria Pia ^{[1
]}

Mangini, Agostino Marcello ^{[1
]}

Parisi, Fabio ^{[1
]}

机构：

[1] Polytech Bari, Dept Elect & Informat Engn, I-70125 Bari, Italy

来源：

2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2021年

关键词：

D O I：

10.1109/SMC52423.2021.9658968

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The control of road intersection in presence of priority vehicles is central in terms of performance of the emergency scenarios optimal management. In this paper a study applying Deep Reinforcement Learning to the traffic light control of a road intersection is presented, also considering the presence of three classes of priority vehicles such as ambulances and police. A case study of a road intersection in the city of Bari is presented. The paper focuses on a high-level dynamics of traffic management, not considering low-level issues like communication and data transferring.

引用

页码：182 / 187

页数：6

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