Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/22183
Título: | Dealing with multiple source spatio-temporal data in urban dynamics analysis |
Autor(es): | Peixoto, João Moreira, Adriano |
Palavras-chave: | Urban modelling Space-time dynamics Data fusion |
Data: | 18-Jun-2012 |
Editora: | Springer |
Revista: | Lecture Notes in Computer Science |
Resumo(s): | Capturing, representing, modelling and visualizing the dynamics of urban mobility have been attracting the interest of the research community recently. One of the drivers for recent work in this area is the availability of large datasets representing many aspects of the urban dynamics. Applications for these studies are diverse and include urban planning, security, intelligent transportation systems and many others. Quite often, the proposed approaches are highly dependent on the data type. 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. A place learning algorithm is also described to illustrate the flexibility of 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/22183 |
ISBN: | 978-3-642-31074-4 978-3-642-31075-1 |
DOI: | 10.1007/978-3-642-31075-1_34 |
ISSN: | 0302-9743 |
Versão da editora: | http://www.springerlink.com/content/32p07g673707l213/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2012_JP_ACM.pdf | Documento principal | 430,15 kB | Adobe PDF | Ver/Abrir |