a useful way to analyze traffic data using HADOOP.

1. TRAFFIC DENSITY ANALYSIS
USING HADOOP

2.  Objectives
 Introduction
 Existing System and Proposed System
 System Requirements
 System Design
 Demonstration
 Future Enhancement
 Conclusion
 References

3.  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.

4. Big Data
Data that can’t be computed using
traditional computational technique.
Tool
HADOOP HDFS

5.  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.

6. 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

7. Software Requirements
VM Player Phonegap
Aptana
Studio
WampServer Sublime Text Notepad++

8. Languages
JAVA
SCRIPT
HTML 5
PHPCSS
jQuery

9. TOOLS
HBASE
Shell
LeafletPhone
Gap
Framework
HADOOP
HTML Kick Start

12. On opening mobile
our project first
page introduction
will be shown.
In next page a
brief Introduction
of our project
team
And in next page
A prompt will asked
to enter valid
“SERVER I P”
On entering valid IP,
Server Status and
related traffic
density will be shown

13.  Cd hadoop/bin
 ./start-all.sh
 Cd ~
 Cd hbase/bin
 ./start-hbase.sh
 ./hbase-daemon.sh start thrift
 ./hbase rest start –p 8080

15. 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

16.  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.

17. 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.

18. •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

19. THANK YOU. . .