Estimation of Automatic License Plate Recognition Using Deep Learning Algorithms

Electric vehicles are very important for the country's economy. Thanks to the use of these vehicles, both environmental and economic benefits can occur for countries. However, there are some problems that prevent the development of electric vehicles. The inadequacy of charging stations is one of the most important problems in this process. This problem prevents the preference of electric vehicles. Therefore, a comprehensive analysis is required to solve this problem. Accordingly, this study aims to determine strategy suggestions that will increase the effectiveness of charging stations for electric vehicles. To achieve this goal, a new decision-making model is proposed in this study. In this model, multi-criteria decision-making techniques are integrated with fuzzy logic. The findings indicate that technological improvements play the most crucial role in increasing the effectiveness of these investments. Similarly, increasing the number of charging stations also has a positive influence on this situation.

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Publication Details

Journal
Spectrum of Decision Making and Applications.
Published
2024-10-05
DOI
https://doi.org/10.31181/sdmap21202512
Citations
7
Primary Topic
Vehicle License Plate Recognition
Type
article
Field-Weighted Citation Impact
2.24
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article

Estimation of Automatic License Plate Recognition Using Deep Learning Algorithms

Kattur Soundarapandian Ravichandran
7 citations
Spectrum of Decision Making and Applications.
Vehicle License Plate Recognition
2.24
article

Estimation of Automatic License Plate Recognition Using Deep Learning Algorithms

Kattur Soundarapandian Ravichandran
article en
7 citations

Abstract

Electric vehicles are very important for the country's economy. Thanks to the use of these vehicles, both environmental and economic benefits can occur for countries. However, there are some problems that prevent the development of electric vehicles. The inadequacy of charging stations is one of the most important problems in this process. This problem prevents the preference of electric vehicles. Therefore, a comprehensive analysis is required to solve this problem. Accordingly, this study aims to determine strategy suggestions that will increase the effectiveness of charging stations for electric vehicles. To achieve this goal, a new decision-making model is proposed in this study. In this model, multi-criteria decision-making techniques are integrated with fuzzy logic. The findings indicate that technological improvements play the most crucial role in increasing the effectiveness of these investments. Similarly, increasing the number of charging stations also has a positive influence on this situation.

Spectrum of Decision Making and Applications.Vol. 2(1)
Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 10%
Vehicle License Plate Recognition
2.24
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Estimation of Automatic License Plate Recognition Using Deep Learning Algorithms — Kattur Soundarapandian Ravichandran · Spectrum of Decision Making and Applications. (2024) | TGRS Research Map | TGRS