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Business Analytics in Traffic Management System

by Pushkar Kale, Rushil Salot, Rohan Manoj Thakkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 12
Year of Publication: 2015
Authors: Pushkar Kale, Rushil Salot, Rohan Manoj Thakkar
10.5120/ijca2015906237

Pushkar Kale, Rushil Salot, Rohan Manoj Thakkar . Business Analytics in Traffic Management System. International Journal of Computer Applications. 126, 12 ( September 2015), 14-20. DOI=10.5120/ijca2015906237

@article{ 10.5120/ijca2015906237,
author = { Pushkar Kale, Rushil Salot, Rohan Manoj Thakkar },
title = { Business Analytics in Traffic Management System },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 12 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number12/22603-2015906237/ },
doi = { 10.5120/ijca2015906237 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:17:15.700468+05:30
%A Pushkar Kale
%A Rushil Salot
%A Rohan Manoj Thakkar
%T Business Analytics in Traffic Management System
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 12
%P 14-20
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With increase in population and need of a vehicle as a basic need, the traffic problem is increasing rapidly at an uncontrollable rate. Efficient traffic management systems need to be adopted without which it may lead to a traffic chaos in the upcoming future. The aim is to reduce the traffic management problems especially in India by providing the user an overview of the traffic scenario’s in different parts of the country which will help him to reduce his travel time by avoiding congestions. This project investigates big data analytic tools to analyze the large amount of data collected from traffic management systems and produce patterns that can be used to formulate a full-proof and more efficient traffic management policy that can reduce or totally eliminate vehicular congestion, accidents thus saving precious resources and time. In this system traffic data like videos, number of vehicles, type of vehicles, etc. is used to infer patterns of traffic and congestion.

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Index Terms

Computer Science
Information Sciences

Keywords

Business Analytics FCD

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