Publicação
Detection of road accident accumulation zones with a visual analytics approach
| Resumo: | 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. |
|---|---|
| Autores principais: | Ramos, Luís F. |
| Outros Autores: | Silva, Luís; Santos, Maribel Yasmina; Pires, João Moura |
| Assunto: | Road traffic accidents black spots visual analytics |
| Ano: | 2015 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866270508808404992 |
|---|---|
| author | Ramos, Luís F. |
| author2 | Silva, Luís Santos, Maribel Yasmina Pires, João Moura |
| author2_role | author author author |
| author_facet | Ramos, Luís F. Silva, Luís Santos, Maribel Yasmina Pires, João Moura |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ramos, Luís F.\"},{\"Person.name\":\"Silva, Luís\"},{\"Person.name\":\"Santos, Maribel Yasmina\"},{\"Person.name\":\"Pires, João Moura\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Ramos, Luís F. Silva, Luís Santos, Maribel Yasmina Pires, João Moura |
| datacite.date.Accepted.fl_str_mv | 2015-10-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Road traffic accidents black spots visual analytics |
| datacite.titles.title.fl_str_mv | Detection of road accident accumulation zones with a visual analytics approach |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Ramos, Luís F. Silva, Luís Santos, Maribel Yasmina Pires, João Moura |
| dc.date.Accepted.fl_str_mv | 2015-10-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/38121 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Road traffic accidents black spots visual analytics |
| dc.title.fl_str_mv | Detection of road accident accumulation zones with a visual analytics approach |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/f796cd9c-76c8-4491-b13c-c4b73194e9b1/download |
| id | rum_705f106963ec4e5186e27c4a3ccc3245 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/38121 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/38121 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Ramos, Luís F. Silva, Luís Santos, Maribel Yasmina Pires, João Moura |
| publishDate | 2015 |
| publisher.none.fl_str_mv | Elsevier |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engElsevierporNowadays, 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.application/pdfporDetection of road accident accumulation zones with a visual analytics approachRamos, Luís F.Silva, LuísSantos, Maribel YasminaPires, João MouraHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISSNIsPartOf1877-0509DOIIsPartOf10.1016/j.procs.2015.08.6152015-102015-10-01T00:00:00ZHandlehttps://hdl.handle.net/1822/38121http://purl.org/coar/access_right/c_abf2open accessRoad traffic accidentsblack spotsvisual analytics857311 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/f796cd9c-76c8-4491-b13c-c4b73194e9b1/download |
| spellingShingle | Detection of road accident accumulation zones with a visual analytics approach Ramos, Luís F. Road traffic accidents black spots visual analytics |
| status | SINGLETON |
| subject.fl_str_mv | Road traffic accidents black spots visual analytics |
| title | Detection of road accident accumulation zones with a visual analytics approach |
| title_full | Detection of road accident accumulation zones with a visual analytics approach |
| title_fullStr | Detection of road accident accumulation zones with a visual analytics approach |
| title_full_unstemmed | Detection of road accident accumulation zones with a visual analytics approach |
| title_short | Detection of road accident accumulation zones with a visual analytics approach |
| title_sort | Detection of road accident accumulation zones with a visual analytics approach |
| topic | Road traffic accidents black spots visual analytics |
| topic_facet | Road traffic accidents black spots visual analytics |
| url | https://hdl.handle.net/1822/38121 |
| visible | 1 |