Implementation of HADOOP in traffic.

1. Aditya holla
Kirthan s Holla
Manoj Vasishta S S
Guruprasad hegde

2.  Objectives
 Introduction
 Existing System
 Proposed System
 Methodology
 Languages
 Framework & Tools.

3.  Analyse the traffic density by using
HADOOP.
 Provide the live feed of traffic density in
various nodes.
 Provide a platform to analyse the data from
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 commonly shared
among traffic agencies by means of
voice and data communications.
Problems:
○ Higher cost.
○ Difficult to setup system.

6. Use of sensor or mobile node
○ reduces cost
○ faster analysis.

7. ○ Installation of Virtual Machine (version 11.0)
○ Installation of Linux based OS on VM(UBUNTU –
14.04)
○ Installation of HADOOP-2.6.0 Single Node Cluster,
HBASE, HIVE

8. Contd…
 Installation of PhoneGap software to build an android
app for transmitting data
 Installation of CodeIgniter and defining control
actions for back end implementation
 Database design for storing data values from traffic
node
 Admin panel layout design for front end user
interface.

9.  Connecting HADOOP with PHP backend using
PHPHIVE
 Implementing models, views and controllers in
CodeIgniter
 Building PhoneGap layout
 Implementing traffic algorithm
 Live-feed interface for traffic data

10.  Integrating all the components that have been
developed in last two modules
 Testing and Finalizing all the components designed
 Generating report

11.  Admin Panel
 Live Feed
 Statistics

12. LANGUAGES
Hive
PHP
JAVA
SCRIPT
HTML 5
PHP-
HIVE

13. TOOLS
HBASE
Eclipse
CodeIgniter
Titon
Leaflet
PhoneGap
•HADOOPFRAMEWORK

14. THANK YOU. . .