Percorrer por autor "Paiva, Sara"
A mostrar 1 - 5 de 5
Resultados por página
Opções de ordenação
- Accessibility strategies to promote inclusive mobility through multi-objective approachPublication . Silva, Tânia; Verde, David; Paiva, Sara; Barreto, Luis; Pereira, Ana I.In recent decades, urban mobility has assumed a need for adaptation due to the more significant congestion experienced in cities and the growing focus on sustainability. Several solutions are proposed to help citizens move around in an urban environment. Most are not yet aware of the universal and accessible aspect that these solutions must have. This paper proposes a route support system embedded in a mobile application, Viana+Acessivel, using a multi-objective approach. The application aims to promote accessible mobility within the city, contributing to physical and psychological well-being for citizens with reduced mobility, temporary or permanently, such as people with spectrum autism disorder, the visually impaired, wheelchair users, pregnant, and the elderly. For the evaluation of the algorithms, four objective measures were considered: accessibility, slope, time, and length of the paths. The tests carried out with different routing algorithms showed that the A-Star presented the fastest results in terms of execution time compared to the Dijkstra, Floyd-Warshall, and Bellman-Ford. When analysing in a multi-objective approach, time, slope and accessibility were demonstrated to be conflicting objectives. Bi-objective and tri-objective were applied and Pareto front was explored.
- Inclusive mobility through multi-path routing algorithmPublication . Machado, Hugo; Paiva, Sara; Pereira, Ana I.Urban orientation is intrinsically linked to mobility and it refers to the ability of a citizen to know at every moment exactly where he is, whether or not he knows the city, and to be able to get directions to a desired location [3]. Permanent or temporary mobility disabilities includes several types of segments such as visually impaired people, wheelchair users, people with autism spectrum disorder, deaf people, pregnant ladies, elder or people with toddlers. For each of these segments, the concerns and precautions to take during a route …
- Monitoring and optimising of public transportationPublication . Martins, Diogo; Neves, Márcio; Reis, Roger; Paiva, Sara; Lopes, Sérgio; Lima, José; Pereira, Ana I.The smart city topic became a very prominent concept in recent years, especially in the area of public transportation. This work aims to develop a modular GPS sensor based system which can be installed in any transportation vehicle. The module collects GPS location data of the vehicle, user flow and time and sends it through mobile data network to a database in a server. The sent data can be analysed through data mining strategies to decision support in terms of existing routes or add new routes through population flow analysis. The module will be powered by the vehicle via the car auxiliary power outlet. Some data will be available to the users through website and mobile App. In the website the public transportation institution can access to privileged information about it’s bus fleet. In the website, the public transportation institution, can access to privileged information about it’s bus fleet. In the mobile app, the user, can access the bus arrival time information, if the bus is on time or if it’s late.
- Multi-path routing algorithm for inclusive mobility in an urban environmentPublication . Machado, Hugo; Paiva, Sara; Pereira, Ana I.The concept of smart city is frequently used nowa-days to refer to the level of integration of cities with citizen services. Mobility and navigation are some examples. When considering disabled users, in a temporary or permanent way, the challenges to provide such services in an efficient way are even bigger. This paper is an extension of a previous work where a mobile application to recommend the most suitable route for citizens was implemented with both Dijkstra and A -Star algorithms. The presented work describes a multi-path approach considering the user might want to choose several destinations in the mobile application and obtain the most suitable route that goes through all of them. Results are presented using the Genetic and the Simulated Annealing Algorithms. Both were evaluated with 100 runs and 2, 4, 8 and 16 destinations. The average algorithm execution time, standard deviation, median value, maximum and minimum execution times were assessed. The Simulated Annealing Algorithm presented better results and always suggested the shorter, or equal, path when comparing to the Genetic Algorithm. © 2022 IEEE.
- Optimized routing for people with permanent or temporary mobility disability: a case study in Viana do CasteloPublication . Verde, David; Silva, Tânia Cristina; Pereira, Ana I.; Paiva, SaraNowadays, it is already common to have apps to assist citizens in their mobility within a city. However, apps are usually designed for the general citizen and do not include the specificity of people with reduced mobility, temporarily or permanently, such as visually impaired people, autistic people, people in wheelchairs, among others segments. This paper illustrates a case study carried out in the city of Viana do Castelo, in Portugal, where the streets of the historic center of the city were classified in a Geographic Information System (GIS) by the City Council together with the institutions that represent each one of the considered segments. Based on this classification, the Viana+Acessivel app was developed, which is about to be made available free of charge to all citizens, and which recommends to each user the optimum route from a source to a destination, taking into account his segment. For example, visually impaired people should avoid streets where emergency vehicles can circulate and autistic people should preferably avoid streets with loud noises, among other conditions. The A -Star Algorithm and Dijkstra Algorithm were used in the app to identify the optimum route. A comparative study was made concluding that both strategies identify the optimum route and A -Star method obtains the optimum solution in a faster time. An evaluation of the app was also made in terms of its effectiveness and usability.
