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Improved Traffic Prediction by Applying KNN and Euclidean Distance ARIMA (Ke-Arima) Approach

by Priyanka Rani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 3
Year of Publication: 2018
Authors: Priyanka Rani
10.5120/ijca2018917488

Priyanka Rani . Improved Traffic Prediction by Applying KNN and Euclidean Distance ARIMA (Ke-Arima) Approach. International Journal of Computer Applications. 182, 3 ( Jul 2018), 23-29. DOI=10.5120/ijca2018917488

@article{ 10.5120/ijca2018917488,
author = { Priyanka Rani },
title = { Improved Traffic Prediction by Applying KNN and Euclidean Distance ARIMA (Ke-Arima) Approach },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2018 },
volume = { 182 },
number = { 3 },
month = { Jul },
year = { 2018 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number3/29743-2018917488/ },
doi = { 10.5120/ijca2018917488 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:10:17.158825+05:30
%A Priyanka Rani
%T Improved Traffic Prediction by Applying KNN and Euclidean Distance ARIMA (Ke-Arima) Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 3
%P 23-29
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the modern era, the road infrastructure failed to cope up with the exponential increase of road traffic. There is a thrust to find a smarter way to deal with such transportation system. Intelligent Transport System is at the forefront edge of this, one of the points is exact and hassle-free forecasts that guarantee smooth and bother free driving and authoritative experience. In such manner, Intelligent Transport System (ITS) being looked into for quite a few years and furthermore a field of consistent growth of works and advancement after some time, there is a wealth of writing on traffic expectation. Traffic datasets generated through the application of IOT are operated upon by the existing techniques. Traffic flow analysis is conducted to tackle the issues of traffic forecasting. This paper presents a systematic analysis of previous aggregate work on traffic prediction, highlight the marked changes and presents future directions for research work.

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Index Terms

Computer Science
Information Sciences

Keywords

Traffic prediction Traffic Dataset Internet of Things (IOT) Traffic flow traffic forecasting Intelligent Transport System (ITS).

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