Please use this identifier to cite or link to this item:

TitleHuman movement analysis using heterogeneous data sources
Author(s)Peixoto, João
Moreira, Adriano
KeywordsHuman Movement
Sensor Fusion
Space-Time Dynamics
Urban Modeling
Issue date2013
PublisherIGI Global
JournalInternational Journal of Agricultural and Environmental Information Systems
CitationPeixoto, João and Adriano Moreira. "Human Movement Analysis Using Heterogeneous Data Sources" IJAEIS 4.3 (2013): 98-117, 2013
Abstract(s)The analysis of urban mobility has been attracting the interest of the research community recently. The research challenges in this domain are diverse and include data acquisition and representation, human movement modeling and the visualization of dynamic geo-referenced data. Some of the direct applications for these studies are urban planning, security, intelligent transportation systems and wireless networks optimization. One of the drivers for recent work in this area is the availability of large datasets representing many aspects of the urban dynamics. Quite often, the proposed approaches are highly dependent on the data type. However, the analysis of urban dynamics could benefit from the combined and simultaneous use of multiple sources of spatio-temporal data. This paper describes the definition of a set of basic concepts for the representation and processing of spatio-temporal data, sufficiently flexible to deal with various types of mobility data and to support multiple forms of processing and visualization of the urban mobility. For this purpose the authors define a set of concepts and describe how real data from heterogeneous sources is mapped into the proposed framework. Available results obtained by the integration of geometric and symbolic data reveal the adequacy of the proposed concepts, and uncover new possibilities for the fusion of heterogeneous datasets.
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

Files in This Item:
File Description SizeFormat 
  Restricted access
Documento principal1,88 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID