Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/18393
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Gregoriades, Andreas | - |
dc.contributor.author | Chrystodoulides, Andreas | - |
dc.date.accessioned | 2020-05-18T13:34:25Z | - |
dc.date.available | 2020-05-18T13:34:25Z | - |
dc.date.issued | 2018-01-15 | - |
dc.identifier.citation | 14th International Conference on Location Based Services (LBS 2018), Zurich, Switzerland, January 15-17, 2018 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/18393 | - |
dc.description.abstract | This 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 time | en_US |
dc.language.iso | en | en_US |
dc.rights | ETH Zurich | en_US |
dc.subject | Self-Organizing-Maps | en_US |
dc.subject | Traffic Accidents Heat-maps | en_US |
dc.subject | Accident Warnings | en_US |
dc.title | Extracting Traffic Safety Knowledge from Historical Accident Data | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | European University Cyprus | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | International Conference on Location Based Services | en_US |
dc.identifier.doi | 10.3929/ethz-b-000225600 | en_US |
cut.common.academicyear | 2018-2019 | en_US |
dc.identifier.spage | 109 | en_US |
dc.identifier.epage | 114 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Communication and Marketing | - |
crisitem.author.faculty | Faculty of Communication and Media Studies | - |
crisitem.author.orcid | 0000-0002-7422-1514 | - |
crisitem.author.parentorg | Faculty of Communication and Media Studies | - |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
Page view(s) 50
368
Last Week
1
1
Last month
34
34
checked on 14 Μαρ 2025
Google ScholarTM
Check
Altmetric
Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα