1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18392
DC FieldValueLanguage
dc.contributor.authorTasios, Dimitrios-
dc.contributor.authorTjortjis, Christos-
dc.contributor.authorGregoriades, Andreas-
dc.date.accessioned2020-05-18T13:10:08Z-
dc.date.available2020-05-18T13:10:08Z-
dc.date.issued2019-09-01-
dc.identifier.citation4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2019en_US
dc.identifier.isbn9781728147574-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/18392-
dc.description.abstractOver 1.25 million people are killed, and 20-50 million people are seriously injured by traffic accidents every year globally, according to the World Bank. This paper aims to identify patterns in traffic accident data, collected by Cyprus Police between 2007 and 2014. The dataset that was used includes information regarding 3 groups of accident properties: human, vehicle and general environmental or infrastructural information. Data mining techniques were used, and several patterns were identified. Five classifiers were evaluated using a preprocessed dataset, to extract accident patterns. Preliminary results indicate some of the main issues with regards to accident causalities in Cyprus that could be used for real time accident warnings.en_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.subjectClassificationen_US
dc.subjectArtificial Intelligence and Applicationsen_US
dc.subjectData miningen_US
dc.subjectTraffic accidentsen_US
dc.titleMining traffic accident data for hazard causality analysisen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationInternational Hellenic Universityen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceSouth-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)en_US
dc.identifier.doi10.1109/SEEDA-CECNSM.2019.8908346en_US
dc.identifier.scopus2-s2.0-85076364104-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85076364104-
cut.common.academicyear2019-2020en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
crisitem.author.deptDepartment of Management, Entrepreneurship and Digital Business-
crisitem.author.facultyFaculty of Tourism Management, Hospitality and Entrepreneurship-
crisitem.author.orcid0000-0002-7422-1514-
crisitem.author.parentorgFaculty of Tourism Management, Hospitality and Entrepreneurship-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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