Automated traffic violation apprehension system using genetic algorithm and artificial neural network

• Main Authors: Uy, Aaron Christian P., Quiros, Ana Riza F., Bedruz, Rhen Anjerome, Abad, Alexander C., Bandala, Argel A., Sybingco, Edwin, Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2017
• Subjects: Pattern recognition systems; Intelligent transportation systems; Traffic violations; Neural networks (Computer science); Genetic algorithms; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1935
• Institution: De La Salle University

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...