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Mobile HealthyTrack : Recommendation of Healthy Routes

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Resumo:Currently, there are several route recommendation systems, such as Google Maps or Waze, that suggest to their users routes between two given locations while considering different means of travel (on foot, by car, or by public transport). These systems generally recommend the shortest, the fastest, and/or the cheapest route (where factors such as fuel consumption, toll payment, and/or ticket purchasing are considered), indicating a greater focus on public and private modes of transportation rather than on pedestrians or cyclists. That is, these services are strictly limited to economic criteria and do not allow for the integration of other factors that are relevant to each user. In urban environments, it is typical that a person’s choice of walking a certain path is not based on the shortest or the fastest route, but on other subjective criteria valued by pedestrians, such as safety or overall exposure to air pollutants, for instance. The main objective of this work is to design and develop a mobile system (named Mobile HealthyTrack) that recommends pedestrian routes for the city of Lisbon by considering, simultaneously, multiple criteria tailored to the preferences of each registered user, with the additional integration of a voting functionality in order to improve the overall quality of the recommendations. Mobile HealthyTrack is a mobile system (exclusive to the Android operating system) in which users input the points of origin and destination of the routes they want to travel, based on the preferences they have established for each of the three quality criteria considered for the system: distance, air quality, and proximity to green areas. This system combines various modules that work together to provide the most customizable and tailored experience possible for the user. The experiments carried out in a controlled offline environment, as well as the user studies conducted with volunteers, allowed not only to observe that the routes recommended by the system correspond to the best possible routes considering the established parameters, but also to attest to the application’s usability and to obtain essential feedback to further optimize the system.
Autores principais:Machado, Daniel Cardoso de Barros
Assunto:sistemas de recomendação de rotas sistemas móveis rotas pedestres mobilidade ativa mapas digitais Teses de mestrado - 2023
Ano:2023
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa

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