Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/38121

TitleDetection of road accident accumulation zones with a visual analytics approach
Author(s)Ramos, Luís F.
Silva, Luís
Santos, Maribel Yasmina
Pires, João Moura
KeywordsRoad traffic accidents
black spots
visual analytics
Issue dateOct-2015
PublisherElsevier
JournalProcedia Computer Science
CitationRamos, Luís, Luís Silva, Maribel Yasmina Santos and João Moura Pires, “Detection of road accident accumulation zones with a visual analytics approach”, Procedia Computer Science, Volume 64, 969-976, 2015, Elsevier B.V., doi:10.1016/j.procs.2015.08.615, ISSN 1877-0509.
Abstract(s)Nowadays, road accidents are a major public health problem, which increase is forecasted if road safety is not treated properly, dying about 1.2 million people every year around the globe. In 2012, Portugal recorded 573 fatalities in road accidents, on site, revealing the largest decreasing of the European Union for 2011, along with Denmark. Beyond the impact caused by fatalities, it was calculated that the economic and social costs of road accidents weighted about 1.17% of the Portuguese gross domestic product in 2010. Visual Analytics allows the combination of data analysis techniques with interactive visualizations, which facilitates the process of knowledge discovery in sets of large and complex data, while the Geovisual Analytics facilitates the exploration of space-time data through maps with different variables and parameters that are under analysis. In Portugal, the identification of road accident accumulation zones, in this work named black spots, has been restricted to annual fixed windows. In this work, it is presented a dynamic approach based on Visual Analytics techniques that is able to identify the displacement of black spots on sliding windows of 12 months. Moreover, with the use of different parameterizations in the formula usually used to detect black spots, it is possible to identify zones that are almost becoming black spots. Through the proposed visualizations, the study and identification of countermeasures to this social and economic problem can gain new grounds and thus the decision- making process is supported and improved.
TypeConference paper
URIhttp://hdl.handle.net/1822/38121
DOI10.1016/j.procs.2015.08.615
ISSN1877-0509
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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