A STUDY OF ELECTRICAL VEHICLE SELECTION USING BY TOPSIS METHOD

In the current climate, India’s worry over air pollution has grown significantly. Numerous Indian towns are among the most polluted in the world, according to a recent survey. Transport and industrial sectors are the two main sources of air pollution. The industrial sector is responsible for 51% of this air pollution, and the transportation sector is responsible for 27%. 2 million Indians die prematurely each year as a result of air pollution. Electric Vehicles (EVs) can be a gift in reducing GHG emissions to reduce air pollution. Electric vehicles provide several benefits, including less pollution and lower costs for purchasing fuel. Even Nevertheless, there are many dangers to the development of electric vehicles in India. Government efforts to encourage their use, as well as the increased sales and large increase in the number of e-vehicles, are also brought to light. The goal of this research work is to propose an integrated method for choosing and ranking the best electric vehicle alternatives using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS Method) and a multi-criteria decision-making tool (MCDM). The TOPSIS approach is utilized to calculate the weight coefficients of the criteria, and the decision to choose one set of EVs over another is assessed. Five workable options have been selected as a sample for the investigation. This study offers a natural preference for thorough selection criteria and evaluates the best choice among the various electric automobiles.