A5060645354- Human Mobility and Location-Based Analysis
- Data Quality and Management
- Semantic Web and Ontologies
- Traffic Prediction and Management Techniques
- Transportation Planning and Optimization
- Advanced Database Systems and Queries
- E-Government and Public Services
- Smart Cities and Technologies
- Data Management and Algorithms
- Business and Management Studies
- Urban Transport and Accessibility
- Data-Driven Disease Surveillance
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Transportation and Mobility Innovations
- Complex Network Analysis Techniques
- Smart Parking Systems Research
- Advanced Data Storage Technologies
- Geographic Information Systems Studies
- Data Mining Algorithms and Applications
- Education and Digital Technologies
- Software Engineering Techniques and Practices
- Traffic and Road Safety
- Big Data and Business Intelligence
- Software Engineering Research
Universidade Tecnológica Federal do Paraná
2015-2024
National Statistical Institute of Portugal
2022
Universidade Estadual de Campinas (UNICAMP)
2010-2020
Hospital de Clínicas da Unicamp
2011-2019
Virginia Tech
2010
Smart urban transportation management can be considered as a multifaceted big data challenge. It strongly relies on the information collected into multiple, widespread, and heterogeneous sources well ability to extract actionable insights from them. Besides data, full stack (from platform services applications) Information Communications Technology (ICT) solutions need specifically adopted address smart cities challenges. is one of key use cases addressed in context EUBra-BIGSEA...
Route planning is a challenging problem for urban computing that usually involves the processing of huge amount data and collaborative user feedback. Traditionally, route services are street-based, is, even paths pedestrian suggested in terms streets. However, such models not suitable users with certain disabilities. To address this problem, we have performed requirement analysis group wheelchair-users their companions to understand mobility experience. Given perspective, describe article...
Complex networks have been used to model public transportation systems (PTS) considering the relationship between bus lines and stops. Previous works focused on statistically characterize either whole network or their individual stops lines. The present work different regions of a city (Curitiba, Brazil) assuming that passenger could easily access unconnected in geographic area. K-means algorithm was partition (K =) 2 40 clusters with similar Results showed strong inverse (p <; × 10 <sup...
Smart transportation systems have been providing more data over time (such as bus routes, users, smartphones, etc.). Such provides a number of opportunities to identify various facets user behavior and traffic trends. In this paper we address some the urban mobility challenges (already discussed by Brazilian Computer Society), from different perspectives, including (i) pattern discovery, (ii) statistical analysis, (iii) integration, (iv) open connected data. particular, present an...
In this paper we describe a bottom-up approach to integrate GIS maps (endorsed by discrete features, such as points, lines, polygons), in order develop route planner for wheelchair users. We public available data with novel model planning, based on sidewalks, crosswalks and curb ramps, opposed traditional street-based approaches. show that our sidewalk-based is more suitable than planning routes under mobility constraints, using case study Curitiba, Brazil.
Smart transportation systems have been generating a large amount of data overtime (bus routes, users data, bus schedules, etc.). Such data provide number of opportunities to identify various facets user behavior, needs, and traffic trends. In this paper we address some the urban mobility challenges (addressed by the Brazilian Computer Society), from different perspectives, including (i) pattern discovery, (ii) statistical analysis, (iii) integration, (iv) open connected data. particular,...
Urban computing is a recent area of study that helps us to understand the nature urban phenomena. In this sense, an important aspect dynamics commercial establishments popularity in city. Recently, Google launched new service provides time series some several cities. This valuable source data allow better popularity, helping change our perceived physical limits about city, which can enable development applications and services. The results are: (1) characterization for bars restaurants...
As cities are becoming green and smart, public information systems being revamped to adopt digital technologies. There several sources (official or not) that can provide related a city. The availability of multiple enables the design advanced analyses for offering valuable services both citizens municipalities. However, such would fail if considered data were affected by errors uncertainties: Data Quality is one main requirements successful exploitation available information. This paper...
We describe our work in collecting, analyzing and visualizing online information (e.g., Web documents, images, tweets), which are to be maintained by the Crisis, Tragedy Recovery Network (CTRnet) digital library. have been collecting resources about disaster events, as well campus other major shooting collaboration with Internet Archive (IA). Social media data tweets, Facebook data) also collected analyzed. Analyzed results visualized using graphs tag clouds. Exploratory content-based image...
Based on complex network theory, metrics are proposed in this paper to identify local characteristics of public transportation networks, special, congestion potential. As case studies, two major Brazilian cities were chosen. Using L-space representation and geographic distances between connected bus stops as link weights at the resulting PTN model network, we identified regions with high probability vehicle passenger both cities. We find out a type for PTNs, characterized by degree, number...
The industrial development and Brazilian economic context led to important structural changes, among others, the increase of population migration (rural urban spaces), number private vehicles (due tax reduction state subsidies for new cars fuel), others. Such changes impact not only mobility at big cities but also life quality, which is directly affected by pollutant emissions noise. In order limit emission impacts on sensitive (children, elderly people, example), city managers can enforce...
The increasing urban population sets new demands for mobility solutions. impacts of traffic congestions or inefficient transit connectivity directly affect public health (emissions, stress, example) and the city economy (deaths in road accidents, productivity, commuting, etc). In parallel, advance technology has made it easier to obtain data about systems which make up information systems. result this scenario is a large amount data, growing every day requiring effective handling order be...
The fast evolution of technology has led to a growing demand for multimedia data, increasing the amount research into efficient systems manage those materials. A lot being done by Content-Based Image Retrieval (CBIR) community in field images. Nowadays, they play key role digital applications. Thus, contextual integration images with different sources is vital. It involves reusing and aggregating large information other media types. In particular, if we consider video can be used summarize...
Traditionally, available route planners suggest paths in terms of streets, although, sidewalks a same street may present different accessibility conditions for wheelchair users. To address this problem, we describe paper sidewalk-based model planning. The is graph which vertices are corners that makeup city blocks and edges or pedestrian crossings. Namely, automatically build coarse from geographic information system maps (endorsed by discrete features, such as points, lines, polygons)....