Construção de visualizações de matrizes origem-destino no cenário do tráfego urbano com foco em avaliação de usabilidade

• Ano de defesa: 2016
• Autor(a) principal: Gondim, Halley Wesley Alexandre Silva
• Orientador(a): Nascimento, Hugo Alexandre Dantas do
• Banca de defesa: Carvalho, Cedric Luiz de, Freitas, Carla Maria Dal Sasso, Albuquerque, Eduardo Simões de, Soares, Fabrízzio Alphonsus Alves de Melo Nunes
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RG)
• País: Brasil
• Palavras-chave em Português: Tráfego urbano; Matriz origem-destino; Visualização de informações; Avaliação de usabilidade
• Palavras-chave em Inglês: Urban traffic; Origin-destination matrix; Information visualization; Usability evaluation
• Área do conhecimento CNPq: CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/6584

Most of the medium and large cities in the world suffer from the problems related to the growth of the number of vehicles. Congestion, air pollution and weather are some examples of these problems, today constantly reminded of the great damage done to citizens. The use of Information Visualization techniques can serve to support the analysis of these problems and help identify viable and effective solutions for them. On the other hand, the application of Information Visualization to the problems of urban traffic is still a poorly explored area and generally focused on simple aspects of traffic. The present thesis thus addresses the lack of studies in this area, especially in the representation of data related to origin-destination (OD) matrices. In order to do so, a specific classification is proposed for visualizations aimed at the urban traffic scenario, with the purpose of facilitating the identification of works and authors related to the area. In addition, there is the creation of new visualizations, directed to OD arrays, in order to offer different alternatives in the representation of traffic data. Finally, an approach is proposed to evaluate visualizations of OD matrices and correlated information, with the intention of offering adequate feedback to interface designers and enabling the creation of more effective visualizations.