Neuro-Fuzzy Based Adaptive Traffic Flow Control System

被引：0

作者：

Iqbal, Md. Asif ^{[1
]}

Zahin, Adiba ^{[1
]}

Islam, Zainu Sadia ^{[1
]}

Kaiser, M. Shamim ^{[2
]}

机构：

[1] Mil Inst Sci & Technol, Elect Elect & Commun Engn, Dhaka, Bangladesh

[2] Jahangirnagar Univ, Inst Informat Technol, Dhaka, Bangladesh

来源：

PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, DEVICES AND INTELLIGENT SYSTEMS (CODLS) | 2012年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper a Neuro-Fuzzy (NF) based traffic control system has been proposed which can take intelligent decision based on present traffic condition. Here we have trained the Adaptive Neuro-Fuzzy Inference System (ANFIS) system by variable traffic data and the output of this system is compared with Fuzzy logic based and Fixed Time based traffic control system. NF based traffic control system has been found more efficient as the average vehicular delay and the number of vehicles waiting in an intersection have been reduced.

引用

页码：349 / 352

页数：4

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