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  Published Paper Details:

  Paper Title

ELECTRIC VEHICLE CHARGING STATION LOCATER AND SLOT BOOKING SYSTEM USING ARTIFICIAL INTELLIGENCE

  Authors

  Dr. S Nagarajan,  Mrs. S P Sudha

  Keywords

The Electrification of the transportation sector is one of the viable solutions in minimizing the carbon emission over the atmosphere. Due to the rapid growth of electric vehicles in the market, electric vehicle charging stations are in demand among electric vehicle users. As charging of electric vehicles takes a long time, prebooking of charging slots can be done to avoid the waiting time. Artificial intelligence leverages computers and machines to mimic the artificially problem- solving and de

  Abstract


The Electrification of the transportation sector is one of the viable solutions in minimizing the carbon emission over the atmosphere. Due to the rapid growth of electric vehicles in the market, electric vehicle charging stations are in demand among electric vehicle users. As charging of electric vehicles takes a long time, prebooking of charging slots can be done to avoid the waiting time. Artificial intelligence leverages computers and machines to mimic the artificially problem- solving and decision-making capabilities of the human mind. In general AI is a field, which combines computer science and datasets, to enable problem- solving. In the existing system, the requests are handled on First Come First Serve basis. The complexity of using FCFS is its long wait times. In the proposed system, the complexity of FCFS is overcome by using the round-robin scheduling algorithm which allocates slots based on predefined time intervals. Therefore the availability of free booking slots is known to the user. KNN Algorithm is used to find the nearest charging station. The proposed system will result in the reduction of waiting time and good accuracy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2312324

  Paper ID - 247777

  Page Number(s) - c878-c885

  Pubished in - Volume 11 | Issue 12 | December 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr. S Nagarajan,  Mrs. S P Sudha,   "ELECTRIC VEHICLE CHARGING STATION LOCATER AND SLOT BOOKING SYSTEM USING ARTIFICIAL INTELLIGENCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.c878-c885, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312324.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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