TRAFFIC DATA ANALYSIS USING HADOOP
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This document describes a system for analyzing traffic density using Hadoop. The objectives are to analyze traffic density through Hadoop, provide live traffic density data from various nodes, and allow statistical and graphical analysis of data from different nodes. It discusses big data, the Hadoop tools used like HDFS, and the existing manual system's problems. The proposed system design includes mobile nodes generating random traffic data, a Hadoop server for storage, and features for authentication and data analysis. It outlines the system requirements, design, demonstration, future enhancements, and conclusion.
TRAFFIC DATA ANALYSIS 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++
- 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.
- 19. THANK YOU. . .