Fuel Efficient Path Detection to Reduce Green House Gas Emissions Using VANET
G. Indumathi1, M. Shanmuga Kayathiri Devi2, M. Seenu Deiva3
1Dr. G. Indumathi ME., Ph.D., Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India.
2M. Shanmuga Kayathiri Devi, UG Student, Mepco Schlenk Engineering College, Sivakasi, India.
3M. Seenu Deiva, UG Student, Mepco Schlenk Engineering, India. Bharath Institute of Higher Education and Research, Chennai.
Manuscript received on 11 April 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 108-112 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1386058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Due to the revolution in the transport system and increasing population, the number of vehicles travelling in the road gets increasing which in turn increases the green house gas emission from moving vehicles and also causes a hike in road congestion rating. This congestion makes the travelling time longer and leads vehicle to consume more fuel which again increases the green house gas emission. this emission from the vehicle to the environment will cause a lot of problems to the society, such as it may affect the people’s health and the plants life. it increases the earth temperature and leads to environmental damage. these are the unsolved problem in the transport sector. the main objective of the proposed method is to provide the solution by making the vehicle to choose the fuel efficient path among the number of paths to the same destination.
Keywords: VANET, Gas Emission, Road Rate, Traffic Rate, NS3.

Scope of the Article:
Energy Efficient Building Technology