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002
Publications

2020

An Ontology-based approach to Knowledge-assisted Integration and Visualization of Urban Mobility Data

Authors
Sobral, T; Galvao, T; Borges, J;

Publication
Expert Systems with Applications

Abstract
This paper proposes an ontology-based framework to support integration and visualization of data from Intelligent Transportation Systems. These activities may be technically demanding for transportation stakeholders, due to technical and human factors, and may hinder the use of visualization tools in practice. The existing ontologies do not provide the necessary semantics for integration of spatio-temporal data from such systems. Moreover, a formal representation of the components of visualization techniques and expert knowledge can leverage the development of visualization tools that facilitate data analysis. The proposed Visualization-oriented Urban Mobility Ontology (VUMO) provides a semantic foundation to knowledge-assisted visualization tools (KVTs). VUMO contains three facets that interrelate the characteristics of spatio-temporal mobility data, visualization techniques and expert knowledge. A built-in rule set leverages semantic technologies standards to infer which visualization techniques are compatible with analytical tasks, and to discover implicit relationships within integrated data. The annotation of expert knowledge encodes qualitative and quantitative feedback from domain experts that can be exploited by recommendation methods to automate part of the visualization workflow. Data from the city of Porto, Portugal were used to demonstrate practical applications of the ontology for each facet. As a foundational domain ontology, VUMO can be extended to meet the distinctiveness of a KVT. © 2020

2020

Automatic Generation of Spider Maps for Providing Public Transports Information

Authors
Santos, S; Dias, TG; Sobral, T;

Publication
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Abstract
With the continuous growth and complexity of public transport systems, it is essential that the users have access to transport maps that help them easily understand the underlying network, thus facilitating the user experience and public transports ridership. Spider Maps combine elements from geographical and schematic maps, to allow answering questions like “From where I am, where can I go?”. Although these maps could be very useful for travellers, they still are mostly manually generated and not widely used. Moreover, these maps have several design constraints, which turns the automation of the generation process into a complex problem. Although optimisation techniques can be applied to support the generation process, current solutions are time expensive and require heavy computational power. This paper presents a solution to automatically generate spider maps. It proposes an algorithm that adapts current methods and generates viable spider map solutions in a short execution time. Results show successful spider maps solutions for areas in Porto city. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

2019

With Whom Transport Operators Should Partner? An Urban Mobility and Services Geolocation Data Analysis

Authors
Ferreira, MC; Dias, TG; e Cunha, JF;

Publication
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Intelligent Transport Systems, From Research and Development to the Market Uptake

Abstract

2019

Usability Evaluation of a Public Transport Mobile Ticketing Solution

Authors
de Amorim, DM; Dias, TG; Ferreira, MC;

Publication
Advances in Intelligent Systems and Computing

Abstract
Many public transport mobile ticket solutions have arisen but new technologies can face difficulties when launched for a number of reasons that are directly addressed by usability evaluation – a central process in developing usable, hence useful high quality systems with which humans can interact. This paper presents a usability testing performed in context of use of a recently developed public transport mobile ticketing solution for the Metropolitan Area of Porto, Portugal. The objective was to determine if the application is easy to use and navigate for the average user and to generate valuable suggestions for making the app more user-friendly and tasks such as using public transport services and understanding fares quicker and less complicated. Along with problems detected, a list of recommendations by order of importance for improving usability aspects of the mobile application was provided. This study aims to inform developers about usability practices for making mobile ticketing solutions easier to use and stimulate its wider adoption. © 2019, Springer Nature Switzerland AG.

2019

Visualization of urban mobility data from intelligent transportation systems

Authors
Sobral, T; Galvao, T; Borges, J;

Publication
Sensors (Switzerland)

Abstract
Intelligent Transportation Systems are an important enabler for the smart cities paradigm. Currently, such systems generate massive amounts of granular data that can be analyzed to better understand people’s dynamics. To address the multivariate nature of spatiotemporal urban mobility data, researchers and practitioners have developed an extensive body of research and interactive visualization tools. Data visualization provides multiple perspectives on data and supports the analytical tasks of domain experts. This article surveys related studies to analyze which topics of urban mobility were addressed and their related phenomena, and to identify the adopted visualization techniques and sensors data types. We highlight research opportunities based on our findings. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

Supervised
thesis

2019

Análise de Variabilidade no Desenvolvimento de Produtos com Base Polimérica na Indústria de Pavimentos de Cortiça

Author
Alexandre Sinde Pires Araújo

Institution
UP-FEUP

2019

Design of a route-planner for urban public transport, promoting social inclusion

Author
Rafael Marques Dias

Institution
UP-FEUP

2019

The Vehicle Scheduling Problem of Electric Buses

Author
Maria Leonor Bento Ayres Pereira

Institution
UP-FEUP

2019

Bus travel time estimation using mobile devices

Author
Ana Filipa Barroso Pinto

Institution
UP-FEUP

2019

Assessing destination estimation algorithm using mobile ticketing data

Author
Inês Lopes Dias

Institution
UP-FEUP