Automated traffic violation apprehension system using genetic algorithm and artificial neural network
Developing countries face the problem of crowded and congested roads because of inefficient implementation of traffic rules. Motorists ignore the rules because they are not apprehended and can get away easily. This paper proposes an intelligent traffic system that is able to automatically detect and...
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Main Authors: | , , , , , , |
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Format: | text |
Published: |
Animo Repository
2017
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1935 |
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Institution: | De La Salle University |
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