Controlador fuzzy de semáforos
The increase in cars on the road has been a major problem in traffic in big cities. Curitiba, for example, has several intersections that have traffic jams, among these was chosen the intersection between the Presidente Getúlio Vargas Avenue and Brigadier Franco Street for study. The uncertainty of...
| Principais autores: | Koga, Crystiane Ayumi, Massette, Gustavo Vanderlei, Travensolli, Walter Paulo |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/9945 |
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| Resumo: |
The increase in cars on the road has been a major problem in traffic in big cities. Curitiba, for example, has several intersections that have traffic jams, among these was chosen the intersection between the Presidente Getúlio Vargas Avenue and Brigadier Franco Street for study. The uncertainty of transit enables the use of unconventional Logic, and as one of these the Fuzzy Logic is one of the main models applicable to this situation. Among the diverse applicability of fuzzy logic, control of traffic lights has shown good results. The control lights presents, against the problem exposed, as a solution economically viable and which provides results quickly measured. For knowledge of the subject, Fuzzy Logic, study and review of existing models were performed. It is clear, by means of these, that the feasibility of this application requires a simulation model based on real traffic characteristics. Thus, an intersection was studied by collecting information regarding the amount of vehicles flowing through the traffic light by the senses allowed, being considered cycles (time) in which it is open. The simulation of the traffic light controller, traffic and collection of graphical results were performed via software MATLAB. To check the controller was decided to compared it to a simple traffic light and through the results of this comparison can be proved that the use of fuzzy logic in traffic light is effective and brings good results. |
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