Avaliação por simulação do impacto de “cruising for parking” no tráfego urbano de Curitiba

• Ano de defesa: 2023
• Autor(a) principal: Moreno, Bruno Tebecherani
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Brasil; Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial; UTFPR
• Palavras-chave em Português: Tráfego urbano; Cidades inteligentes; Sustentabilidade; Trânsito - Fluxo - Curitiba (PR); Simulação (Computadores); Estacionamento de automóveis; Planejamento urbano - Curitiba (PR); City traffic; Smart cities; Sustainability; Traffic flow - Curitiba (Brazil); Computer simulation; Automobile parking; City planning - Curitiba (Brazil); CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO; Engenharia Elétrica
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/32530

Recently, the term smart city has received attention from different research groups. In Computing, information and communication technologies have been used to evaluate various aspects of city life. Particularly, smart mobility seeks to implement actions to offer better commuting services in the city using data from the urban environment. Cruising for parking is a phenomenon caused by the search for parking spaces in urban areas. Studies in the literature show that this phenomenon varies throughout the day and corresponds to about 13% to 20% of a city’s traffic. This master’s thesis evaluates the effects of cruising for parking on urban traffic in Curitiba by simulation. A simulation model is developed in the commercial traffic simulation package PTV VISSIM, including a proposed parking algorithm. The Institute of Research and Urban Planning of Curitiba (IPPUC) previously conceived part of this model. The results show impacts on trip delay, average speed, and number of vehicle stops for different scenarios characterized by the number of vehicles looking for parking in relation to the normal flow of vehicles. Public managers can use these results in the planning of parking spaces of urban areas.