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Advisor(s)
Abstract(s)
Atualmente, os cidadãos podem escolher as suas opções de viagem com base no tempo, distância,
emissões, consumo, entre outros parâmetros. Não obstante, a literatura indica que os sistemas de
planeamento de rotas atuais têm, maioritariamente, por base a distância e o tempo. Com efeito,
verificou-se uma falta de sistemas de planeamento de rotas que se preocupem com as preferências
dos utilizadores num ponto de vista mais qualitativo. Este projeto de investigação desenvolve um
framework de planeamento de rotas com a integração de diferentes atributos da rede rodoviária
como semáforos, passadeiras e paragens de autocarro, com o objetivo de providenciar aos
utilizadores a opção de evitar estes mesmos atributos, oferecendo uma opção easy drive,
nomeadamente em ambiente urbano. O estudo foi conduzido através de dados georreferenciados
da cidade de Lisboa, Portugal. No entanto, é transferível para qualquer outra cidade. O algoritmo
providencia alternativas para a rota mais curta, easy drive e rota balanceada, considerando apenas
um modo de viagem: carro/mota.
O modelo foi desenvolvido no PostgreSQL com a extensão PostGIS e PgRouting, e os resultados
foram visualizados no software QGIS. O software permite customizar pesos para cada uma das
restrições para a escolha das rotas e estes pesos são modificados com o objetivo de encontrar o
caminho ótimo consoante as preferências de cada utilizador.
Currently, citizens can choose their travel options based on time, distance, consumption, emission, among other parameters. Nevertheless, the literature indicates that current route planning systems are based on distance and time. In fact, there is a lack of route planning systems which are concerned with users' preferences from a more qualitative point of view. This research project develops a route planning framework with the integration of different road network features like traffic lights, pedestrian crossings, and bus stops, to provide users with the option to avoid these features, offering an easy drive option, namely in an urban environment. The study was conducted using georeferenced data from the city of Lisbon, Portugal. However, it is transferable to any other city. The algorithm provides alternatives for the shortest route, easy drive, and balanced route, considering only one travel mode: car/motorbike. The model was developed in PostgreSQL with the PostGIS extension and PgRouting, and the results were visualized in QGIS software. The software allows to custom weights for each of the constraints for route choices, and these weights are modified to find the optimal route according to the preferences of each user.
Currently, citizens can choose their travel options based on time, distance, consumption, emission, among other parameters. Nevertheless, the literature indicates that current route planning systems are based on distance and time. In fact, there is a lack of route planning systems which are concerned with users' preferences from a more qualitative point of view. This research project develops a route planning framework with the integration of different road network features like traffic lights, pedestrian crossings, and bus stops, to provide users with the option to avoid these features, offering an easy drive option, namely in an urban environment. The study was conducted using georeferenced data from the city of Lisbon, Portugal. However, it is transferable to any other city. The algorithm provides alternatives for the shortest route, easy drive, and balanced route, considering only one travel mode: car/motorbike. The model was developed in PostgreSQL with the PostGIS extension and PgRouting, and the results were visualized in QGIS software. The software allows to custom weights for each of the constraints for route choices, and these weights are modified to find the optimal route according to the preferences of each user.
Description
Keywords
Routing Urban environment Georeferenced data Easy Drive PgRouting