Made available in DSpace on 2014-06-11T19:30:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2007-03-23Bitstream added on 2014-06-13T20:21:15Z : No. of bitstreams: 1 pugliesi_ea_dr_prud.pdf: 3859130 bytes, checksum: 645542947cbc0887ddc9305b7a183a0b (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / O objetivo desta pesquisa é avaliar representações cartográficas para manutenção na rota, em um Mapa Visual Dinâmico de Sistema de Navegação e Guia de Rota em Automóvel (SNGRA), por meio das análises de demanda visual, preferência subjetiva e erro navegacional. Os pontos de referência e os sinais de direção de trânsito são elementos de informação importantes que auxiliam os motoristas nas tarefas de manutenção na rota. A tese central é que o Mapa Visual Dinâmico de um SNGRA pode apresentar baixa demanda visual, alta preferência subjetiva e pouco erro navegacional quando se combina representação cartográfica áudio-dinâmica com pontos de referência representados na perspectiva do motorista e representação de seta para indicar a direção da manobra. Os elementos de pontos de referência foram selecionados a partir das características da atratividade visual e cognitiva de um pequeno espaço urbano brasileiro e, principalmente, da rota de teste. As representações cartográficas foram produzidas com base em fatores humanos (cognição, percepção e atenção) e, testadas junto a um grupo de 28 motoristas. Utilizou-se a estatística não paramétrica para analisar os dados coletados nos testes de demanda visual. Os resultados indicam as representações cartográficas eficientes e eficazes para manutenção na rota, bem como apontam a relação da demanda visual com os fatores sexo, habilidade espacial e experiências com mapas. Este trabalho confirma os resultados de pesquisas anteriores de que os motoristas preferem mapas para navegação e guia de rota em automóvel porque querem conhecer sua localização e o contexto espacial, em relação às referências urbanas. / The aim of this research is to evaluate cartographic symbols for route following in a Dynamic Visual Map of a Car Navigation and Route Guidance System, taking into account visual demand, subjective preference and navigational error. Landmarks and traffic signs are information elements that help drivers when following a route. The central hypothesis is that Dynamic Visual Map could be more efficient and effective when combining audio-dynamic cartographic representation with landmarks in a driver's perspective view and arrow to indicate maneuver direction. The landmarks were selected from characteristics of visual and cognitive attractiveness from a town and, mainly of the test route. The cartographic symbols were produced based on human factors (cognition, perception and attention) and tested with 28 drivers. Non-parametric statistic was applied in order to analyze the collected data from visual demand test. The results indicate cartographic symbols efficient and effective for route following, as well as point out association between visual demand with sex, spatial abilities and experiences with maps factors. This work confirm previous research that the most of drivers prefer maps to navigation and route following in car, because they want know en-route where they are in relation to particular areas and landmarks.

Orientador: Mônica Modesta Santos Decanini / Banca: Vilma Mayumi Tachibana / Banca: Nilton Nobuhiro Imai / Banca: Claudia Robbi Slutter / Banca: Luciene Stamato Delazari / Resumo: O objetivo desta pesquisa é avaliar representações cartográficas para manutenção na rota, em um Mapa Visual Dinâmico de Sistema de Navegação e Guia de Rota em Automóvel (SNGRA), por meio das análises de demanda visual, preferência subjetiva e erro navegacional. Os pontos de referência e os sinais de direção de trânsito são elementos de informação importantes que auxiliam os motoristas nas tarefas de manutenção na rota. A tese central é que o Mapa Visual Dinâmico de um SNGRA pode apresentar baixa demanda visual, alta preferência subjetiva e pouco erro navegacional quando se combina representação cartográfica áudio-dinâmica com pontos de referência representados na perspectiva do motorista e representação de seta para indicar a direção da manobra. Os elementos de pontos de referência foram selecionados a partir das características da atratividade visual e cognitiva de um pequeno espaço urbano brasileiro e, principalmente, da rota de teste. As representações cartográficas foram produzidas com base em fatores humanos (cognição, percepção e atenção) e, testadas junto a um grupo de 28 motoristas. Utilizou-se a estatística não paramétrica para analisar os dados coletados nos testes de demanda visual. Os resultados indicam as representações cartográficas eficientes e eficazes para manutenção na rota, bem como apontam a relação da demanda visual com os fatores sexo, habilidade espacial e experiências com mapas. Este trabalho confirma os resultados de pesquisas anteriores de que os motoristas preferem mapas para navegação e guia de rota em automóvel porque querem conhecer sua localização e o contexto espacial, em relação às referências urbanas. / Abstract: The aim of this research is to evaluate cartographic symbols for route following in a Dynamic Visual Map of a Car Navigation and Route Guidance System, taking into account visual demand, subjective preference and navigational error. Landmarks and traffic signs are information elements that help drivers when following a route. The central hypothesis is that Dynamic Visual Map could be more efficient and effective when combining audio-dynamic cartographic representation with landmarks in a driver's perspective view and arrow to indicate maneuver direction. The landmarks were selected from characteristics of visual and cognitive attractiveness from a town and, mainly of the test route. The cartographic symbols were produced based on human factors (cognition, perception and attention) and tested with 28 drivers. Non-parametric statistic was applied in order to analyze the collected data from visual demand test. The results indicate cartographic symbols efficient and effective for route following, as well as point out association between visual demand with sex, spatial abilities and experiences with maps factors. This work confirm previous research that the most of drivers prefer maps to navigation and route following in car, because they want know en-route where they are in relation to particular areas and landmarks. / Doutor

Traffic congestion on urban road networks has been recognized as one of the most serious problems with which modern cities are confronted. It is generally anticipated that Dynamic Route Guidance Systems (DRGS) will play an important role in reducing urban traffic congestion and improving traffic flows and safety. One of the most critical issues in designing these systems is in the development of optimal routing strategies that would maximize the benefits to overall system as well as individual users. Infrastructure based DRGS have advantage of pursuing system optimal routing strategy, which is more essential under abnormal traffic conditions such as non-recurrent congestion and natural disaster. However user compliance could be a problem under such a strategy, particularly when some of equipped drivers are urged not to choose minimum travel time path for the sake of improving the total network travel time. On the other hand, In-vehicle based DRGS can utilize the user-specified route selection criteria to avoid "Braess Paradox" under normal traffic conditions. However, it may be of little use under abnormal traffic conditions and high DRGS market penetration. In conducting the comparative analysis between system optimal strategy and user equilibrium strategy, significant differences were found within the mid-range traffic demand. The maximum total travel time difference occurs when the level of traffic demand is half of the system capacity. At this point, system optimal route guidance strategy can save more than 11% of the total travel time of user equilibrium route guidance strategy. The research proposes an adaptive routing strategy as an efficient dynamic route guidance under non-recurrent traffic congestion. Computation results show that there is no need to implement system optimal routing strategy at the initial stage of the incident. However, it is critical to use system optimal routing strategy as freeway and arterial are getting congested and the queue delay in freeway increases. The adaptive routing strategy is evaluated using Traffic simulation model, INTEGRATION. According to simulation results using an ideal network, the travel time saving ratio is maximum when both arterial and freeway have normal traffic demand under incident. In case of a realistic network, the adaptive routing strategy also proved to save the total travel time between 3% to 10% over the traditional user equilibrium routing strategy. The reduction of total travel time increases as the incident duration increases. Consequently, it is concluded that the adaptive routing strategy for DRGS is more efficient than using user equilibrium routing strategy alone. / Ph. D.