Intelligent Traffic Quantification System

被引：2
|
作者：
Mohanty, Anita [1 ]
Bhanja, Urmila [2 ]
Mahapatra, Sudipta [3 ]
机构：
[1] SIT, Dept Appl Elect & Instrumentat Engn, Bhubaneswar, Orissa, India
[2] IGIT, Dept Elect & Commun Engn, Sarang, India
[3] IIT, E & ECE Dept, Kharagpur, W Bengal, India
来源：
INTERNATIONAL CONFERENCE ON MATERIALS, ALLOYS AND EXPERIMENTAL MECHANICS (ICMAEM-2017) | 2017年 / 225卷
关键词：
fuzzy logic; traffic congestion; vehicle to vehicle (V2V) communication; VANET; NETWORK;
D O I：
10.1088/1757-899X/225/1/012179
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Currently, city traffic monitoring and controlling is a big issue in almost all cities worldwide. Vehicular ad-hoc Network (VANET) technique is an efficient tool to minimize this problem. Usually, different types of on board sensors are installed in vehicles to generate messages characterized by different vehicle parameters. In this work, an intelligent system based on fuzzy clustering technique is developed to reduce the number of individual messages by extracting important features from the messages of a vehicle. Therefore, the proposed fuzzy clustering technique reduces the traffic load of the network. The technique also reduces congestion and quantifies congestion.
引用
收藏
页数：9
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