Adaptación e implementación de un módulo que realiza aforos vehiculares a un sistema inteligente para el control del flujo vehicular.
Fecha
2023-09
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Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales.
Resumen
El presente proyecto tiene como objetivo la creación de un módulo, el cual realiza aforos vehiculares para la ciudad de Guayaquil, con el fin de generar resultados certeros, ya que el módulo tiene la habilidad de ingresar datos de manera manual y a través de videos, donde se ha observado el porcentaje de error y precisión al momento de obtener el resultado de dicho aforo. Así mismo la información se guarda en una base de datos PostgresSQL, con el fin de realizar consultas a través de la fecha y hora. De la misma manera para tener mayor respaldo, se cargará dicha información en la nube para poder acceder a dichos datos desde cualquier lugar.El software tiene la habilidad de clasificar los tipos de vehículos. Por lo que se ha usado para el desarrollo del bank- end el uso del lenguaje de python, que es donde se desarrollaron los algoritmos y para mostrar la información de manera grafica se usó framework django con el fin de obtener la estructura del módulo. Para el desarrollo del proyecto se eligió la metodología Kanban que permite visualizar las tareas y actividades a cumplir considerando la prioridad de cada una. Dando resultados confiables, ya que se han realizado muchas pruebas donde se ha observado el error y la precisión, con el fin de optimizar los tiempos de respuestas y calidad de la información.
This project aims to create a module, which performs vehicle gauging for the city of Guayaquil, in order to generate accurate results, since the module has the ability to enter data manually and through videos, showing the percentage of error and accuracy at the time of obtaining the result of the gauging. Likewise, the information is stored in a PostgresSQL database, in order to perform queries through the date and time. In the same way to have more backup, the information will be uploaded to the cloud to be able to access the data from anywhere. The software also has the ability to classify the types of vehicles. For the development of the bank-end the use of the Python language has been used, which is where the algorithms were developed. To display the information graphically, the Django framework was used in order to obtain the structure of the module. For the development of the project the Kanban methodology was chosen, which allows to visualize the tasks and activities to be accomplished considering the priority of each one. Giving reliable results, since many tests have been performed and have been compared with the percentage of error and accuracy, in order to optimize response times and quality of information.
This project aims to create a module, which performs vehicle gauging for the city of Guayaquil, in order to generate accurate results, since the module has the ability to enter data manually and through videos, showing the percentage of error and accuracy at the time of obtaining the result of the gauging. Likewise, the information is stored in a PostgresSQL database, in order to perform queries through the date and time. In the same way to have more backup, the information will be uploaded to the cloud to be able to access the data from anywhere. The software also has the ability to classify the types of vehicles. For the development of the bank-end the use of the Python language has been used, which is where the algorithms were developed. To display the information graphically, the Django framework was used in order to obtain the structure of the module. For the development of the project the Kanban methodology was chosen, which allows to visualize the tasks and activities to be accomplished considering the priority of each one. Giving reliable results, since many tests have been performed and have been compared with the percentage of error and accuracy, in order to optimize response times and quality of information.
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Palabras clave
AFORO, MÓDULO, KANBAN, PRECISIÓN, DATOS, ALGORITMOS, OPTIMIZAR, CAPACITY, MODULE, KANBAN, ACCURACY, DATA, ALGORITHMS, OPTIMIZE