TRAFFIC DATA ANALYSIS USING HADOOP

TRAFFIC DENSITY ANALYSIS USING HADOOP

Objectives

Introduction

Existing System and Proposed System

System Requirements

System Design

Demonstration

Future Enhancement

Conclusion

References

Analyse the traffic density by using

HADOOP framework.

Provide the live feed of traffic density in

various nodes.

Provide a platform to analyse the data of

various nodes statistically and

graphically.

Big Data

Data that can’t be computed using

traditional computational technique.

Tool

HADOOP HDFS

Traffic information is shared

- voice

- data communications.

Problems:

Requires huge man power.

Time consuming.

Static traffic timing.

Lack of Traffic Information to users

It is also difficult to setup the system initially.

Mobile Nodes

concentrated on generation of

traffic data using random numbers

generated data are

transmitted through mobiles

data transmission are done by using

mobile applications

Live Feed

providing authentication

provide suitable features which are helpful for analysing the data

Hadoop Server

concentrated on storage of traffic data in Hbase of Hadoop

data in database are used to provide results for user

queries

The whole project is divided into 3 modules

Software Requirements

VM Player PhonegapAptanaStudio

WampServer Sublime Text Notepad++

Languages

JAVA SCRIPT

HTML 5

PHPCSS

jQuery

TOOLS

HBASE Shell

LeafletPhoneGap

Framework

HADOOP

HTML Kick Start

On opening mobile our project first

page introduction will be shown.

In next page a brief Introduction

of our project team

And in next pageA prompt will asked

to enter valid “SERVER I P”

On entering valid IP, Server Status and

related traffic density will be shown

Cd hadoop/bin

./start-all.sh

Cd ~

Cd hbase/bin

./start-hbase.sh

./hbase-daemon.sh start thrift

./hbase rest start –p 8080

Command to Start Server.

On connection to server

Provides admin LOGIN

Credentials.

On Successful login, density at different nodes are shown in

markers.

On clicking particular node, its respective density

and graph are shown

Marker turns from green to red if

density crosses the limit.

Marker turns from red to green on clicking optimize

button.

Statistics for amirahmed_circle

For practicality purpose, sensor like presence sensor, traffic

light sensor can be used instead of mobile nodes to collect

traffic data.

We can compare traffic density between two nodes.

The whole project can be converted to a mobile app and can

be used in smart phones.

We can enhance overall project, by reducing delay factor

considerably.

Overall we can say that, huge amount of

data can be efficiently accessed by Hadoop

framework. In our project, we have provided

a solution for increasing traffic density by

optimization, so that density can be

reduced. We have also provided statistics

page for data analysis which can be used for

traffic prediction and analysis.

•http://tecadmin.net/install-oracle-java-8-jdk-8-ubuntu-via-

ppa/

•https://archanaschangale.wordpress.com/2013/08/31/installi

ng-pseudo-distributed-hbase-on-ubuntu/

•http://www.tutorialspoint.com/hadoop/

•http://hortonworks.com/hadoop/

•https://jquery.com/

•https://developer.mozilla.org/en/docs/WebSockets/Writing_

WebSocket_client_applications#Sending_data_to_the_serve

r

•http://cjihrig.com/blog/how-to-use-websockets/

•http://daneden.github.io/animate.css/

•http://www.aptana.com/products/studio3/download.html

THANK YOU. . .