MACHINE VISION ALGORITHMS APPLIED TO DYNAMIC TRAFFIC LIGHT CONTROL

被引：0

作者：

Espinosa Valcarcel, Fabio Andres ^{[1
]}

Gordillo Chaves, Camilo Andres ^{[1
]}

Jimenez Moreno, Robinson ^{[1
]}

Aviles Sanchez, Oscar Fernando ^{[1
]}

机构：

[1] Univ Mil Nueva Granada, Bogota, Colombia

来源：

DYNA-COLOMBIA | 2013年 / 80卷 / 178期

关键词：

Traffic control; computer vision; optimization; fuzzy control; object detection;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a fuzzy traffic controller that in an autonomous, centralized and efficient way, manages vehicular traffic flow in a group of intersections. The system uses a computer vision algorithm to detect the number of cars in images captured by a set of strategically placed cameras at every intersection. Using this information, the system selects the sequence of actions that optimize traffic flow within the control area, in a simulated scenario. The results obtained show that the system reduces the delay times for each vehicle by 20% and that the controller is able to adapt smoothly to different flow changes.

引用

页码：132 / 140

页数：9

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