Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/18393
DC FieldValueLanguage
dc.contributor.authorGregoriades, Andreas-
dc.contributor.authorChrystodoulides, Andreas-
dc.date.accessioned2020-05-18T13:34:25Z-
dc.date.available2020-05-18T13:34:25Z-
dc.date.issued2018-01-15-
dc.identifier.citation14th International Conference on Location Based Services (LBS 2018), Zurich, Switzerland, January 15-17, 2018en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/18393-
dc.description.abstractThis paper presents a method and a tool for analyzing historical traffic accident records using data mining techniques for the extraction of valuable knowledge for traffic safety management. The knowledge is dis-tilled using spatio-temporal analysis of historical accidents records. Raw accident data, obtained from Police records, underwent pre-processing and subsequently integrated with secondary traffic-flow data from a mesoscopic simulation. Clustering analysis was performed with self-organizing maps (SOM) to identify accident black spots on the road network and visualizethis on a map. Distilled knowledge is used to develop a prototype mobile application to warn drivers of accident risk in real timeen_US
dc.language.isoenen_US
dc.rightsETH Zurichen_US
dc.subjectSelf-Organizing-Mapsen_US
dc.subjectTraffic Accidents Heat-mapsen_US
dc.subjectAccident Warningsen_US
dc.titleExtracting Traffic Safety Knowledge from Historical Accident Dataen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationEuropean University Cyprusen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Conference on Location Based Servicesen_US
dc.identifier.doi10.3929/ethz-b-000225600en_US
cut.common.academicyear2018-2019en_US
dc.identifier.spage109en_US
dc.identifier.epage114en_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
CORE Recommender
Show simple item record

Page view(s) 50

302
Last Week
2
Last month
9
checked on May 10, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.