Approaches to control acyclic traffic lights in an exemplary urban road network

被引：0

作者：

Ruchaj, Marcin ^{[1
]}

Stanislawski, Rafal ^{[1
]}

机构：

[1] Opole Univ Technol, Dept Elect Control & Comp Engn, Opole, Poland

来源：

2011 16TH INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS | 2011年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a comparison of five algorithms used to control acyclic traffic lights at intersections of roads in an urban road network. The following algorithms are selected: Most Cars characterized by low computational complexity, the author's algorithm called In-and-Outbound Lane Control, which is an efficient modification of the Most Cars, Local Hill-Climbing algorithm (LHC), the reinforcement learning RL 1 Bucket 2.0 algorithm and the neural network GenNeural algorithm.

引用

页码：387 / 392

页数：6

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