Implantação do projeto URCA – uso racional de carros para mobilidade urbana nas cidades inteligentes

• Ano de defesa: 2021
• Autor(a) principal: Lima Júnior, Luiz Carlos Chaves
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual do Maranhão; Brasil; Campus São Luis Centro de Ciências Tecnológicas – CCT; PPG1; UEMA
• Palavras-chave em Português: URCA; Banco de Dados; Analytics; Rastreamento de Objetos; OpenCV; Mobilidade Urbana; URCARONA; Database; Object Tracking; Urban Mobility; Ciência da Computação; Sistemas de Computação
• Link de acesso: https://repositorio.uema.br/jspui/handle/123456789/2415

Started in the second half of 2015, the URCA project is a low-cost solution aimed at improving urban mobility, in which the intention is to propose to people the use of free rides, assuming that a considerable number of drivers who travel daily in the city’s public roads, for the most part, circulate alone in vehicles. Thus, with the adherence of these drivers to the idea of the solution, fewer cars would enter public roads and, consequently, would bring better fluidity to traffic and benefits to health and the environment. In addition, it is also suggested to the traffic regulator to grant tax benefits, such as reducing vehicle taxes for those who adhere to the solution, in order to attract more followers. However, there is a need for a mechanism to collect information such as: how many people travel alone in vehicles and their respective identification plates. For this, the URCA project proposes the implementation of a solution consisting of a camera monitoring system, together with an algorithm, which will collect this information and send it to a database, which in turn, will be integrated into the URCA Analytics application, the latter responsible for allowing thevisualization and manipulation of the collected information, in addition to having a free rideapplication.Therefore, this work focused on the implementation of the solution at the Paulo VI Campus of the State University of Maranhão, which included the creation of a database, using the MySQL Workbench, as well as the development of applications in Python, one together. with computervision techniques and object detection and tracking, which allowed the automation of sendingcaptures to the database, as well as an algorithm for generating random captures, the URCA Analytics application and the demonstration of basic features of the hitchhiking application. In this way, positive results were obtained in capturing information from the two cars used in the tests, in addition to granting the registration of the software for the ride application entitled “URCARONA v.1.0”, with the INPI, with all these steps and results reported in this document.