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👇Download Article👇 https://www.ijert.org/using-multi-ser... IJERTV11IS030032 Using Multi-Server Single Line Queuing Analysis to Design Electric Vehicle Charging Bays Optimally Jaideep Saraswat , Akanksha Golchha , Nikhil Mall The world is facing a perilous challenge in climate change caused by anthropogenic emissions that are making the earth increasingly fragile. The transport sector is one of the leading sources of global emissions. Thus, the electrification of the transport sector is manifested as a vital intervention to decarbonize this sector. In India, though the penetration of electric vehicles is increasing rapidly, they still account for a minuscule proportion in comparison to internal combustion engine vehicles. The range anxiety characterized by the prevalence of fear that the vehicle will discharge before reaching the destination, associated with electric vehicles is the biggest deterrent. Addressing range anxiety is a catch-22 situation where the deployment of electric chargers is subdued due to the low presence of electric vehicles on the road and vice versa. This paper develops a multi-server single line queueing model that will assist in identifying the number of chargers, their capacity, and spare parking spaces needed to have a feasible business model at play. We have also carried out sensitivity analysis for several parameters in the model to gauge the impact on finances for the charge point operators.