Author(s): Sasikumar C, Jaganathan S


DOI: 10.5958/2321-581X.2017.00044.7   

Address: Sasikumar C1*, Jaganathan S2
1Assistant Professor, Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore, India.
2Professor, Department of Electrical and Electronics Engineering, Dr. NGP Institute of Technology, Coimbatore, India.
*Corresponding Author

Published In:   Volume - 8,      Issue - 3,     Year - 2017

In this 21st century, India is the second largest populated country in the world. According to the future projection of population growth, India will reach more than 5.4 billion people around 2030. Population is concentrated more in urban areas than in rural areas. People prefer to travel by car than using a public transport system. As a result, the problem of traffic congestion increases heavily. In order to overcome the problem, a Real time ridesharing is proposed. This method is put into an operation by developing an Android application. Real time ridesharing is an extension of carpooling to best suite one’s preferences using the data composed from Social networking. It enables users, particularly colleagues, classmates to share their vehicle among the fellow passengers to the same or nearby destination. The system gives real time guidance in a map, with addition to ridesharing. Users can either set their travel to be private or public by making to available to some of their friends using privacy settings. The concept can also be extended to taxis and rickshaws and can also be implemented in any other public transport systems. Execution can be done by integrating with social networking sites, by identifying the location using GPS. For simplicity this is mainly incorporated in mobile phones. The system supports the use of mass public transport system and taking a trip together will become obligatory to manage the depletion of fuel, making the atmosphere green and to control traffic.

Cite this article:
Sasikumar C, Jaganathan S. A Dynamic Carpooling System with Social Network Based Filtering. Research J. Engineering and Tech. 2017; 8(3): 263-267. doi: 10.5958/2321-581X.2017.00044.7

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DOI: 10.5958/2321-581X 

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