Intelligent Traffic Quantification System

International Conference on Materials, Alloys and Experimental Mechanics 2017

材料科学;金属学;机械制造

Mohanty, Anita^1 ; Bhanja, Urmila^2 ; Mahapatra, Sudipta^3

SIT, Bhubaneswar, India^1

IGIT, Sarang, India^2

IIT, Kharagpur, India^3

关键词: Fuzzy clustering techniques;    Important features;    Intelligent traffics;    On-board sensors;    Traffic loads;    VANET;    Vehicle parameters;    Vehicle to vehicle (V2V) communication;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012179/pdf
DOI  :  10.1088/1757-899X/225/1/012179

学科分类：材料科学（综合）

来源: IOP

【 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.