Rule mining and classification of road traffic accidents using adaptive regression trees
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tesema, T.B. | - |
dc.contributor.author | Abraham, A. | - |
dc.contributor.author | Grosan, C. | - |
dc.date.accessioned | 2021-06-18T13:43:09Z | - |
dc.date.available | 2021-06-18T13:43:09Z | - |
dc.date.issued | 2005-09-01 | - |
dc.identifier.issn | 1473-8031 | - |
dc.identifier.issn | 1473-8031 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/47094 | - |
dc.description.abstract | Road traffic accidents are among the top leading causes of deaths and injuries of various levels. Ethiopia is experiencing highest rate of such accidents resulting in fatalities and various levels of injuries. Addis Ababa, the capital city of Ethiopia, takes the lion’s share of the risk having higher number of vehicles and traffic and the cost of these fatalities and injuries has a great impact on the socio-economic development of a society. This research is focused on developing adaptive regression trees to build a decision support system to handle road traffic accident analysis for Addis Ababa city traffic office. The study focused on injury severity levels resulting from an accident using real data obtained from the Addis Ababa traffic office. Empirical results show that the developed models could classify accidents within reasonable accuracy. © 2005 UK Simulation Society. All rights reserved. | - |
dc.format.extent | 15 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | UK Simulation Society | - |
dc.title | Rule mining and classification of road traffic accidents using adaptive regression trees | - |
dc.type | Article | - |
dc.identifier.bibliographicCitation | International Journal of Simulation: Systems, Science and Technology, v.6, no.10-11, pp 80 - 94 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-77956229353 | - |
dc.citation.endPage | 94 | - |
dc.citation.number | 10-11 | - |
dc.citation.startPage | 80 | - |
dc.citation.title | International Journal of Simulation: Systems, Science and Technology | - |
dc.citation.volume | 6 | - |
dc.type.docType | Article | - |
dc.publisher.location | 영국 | - |
dc.subject.keywordPlus | Artificial intelligence | - |
dc.subject.keywordPlus | Decision support systems | - |
dc.subject.keywordPlus | Economic and social effects | - |
dc.subject.keywordPlus | Economics | - |
dc.subject.keywordPlus | Fire protection | - |
dc.subject.keywordPlus | Forestry | - |
dc.subject.keywordPlus | Highway accidents | - |
dc.subject.keywordPlus | Roads and streets | - |
dc.subject.keywordPlus | Transportation | - |
dc.subject.keywordPlus | Causes of death | - |
dc.subject.keywordPlus | Developed model | - |
dc.subject.keywordPlus | Injury severity | - |
dc.subject.keywordPlus | Number of vehicles | - |
dc.subject.keywordPlus | Reasonable accuracy | - |
dc.subject.keywordPlus | Regression trees | - |
dc.subject.keywordPlus | Road traffic accidents | - |
dc.subject.keywordPlus | Socio-economic development | - |
dc.subject.keywordPlus | Accidents | - |
dc.subject.keywordPlus | Accidents | - |
dc.subject.keywordPlus | Regression Analysis | - |
dc.subject.keywordPlus | Trees | - |
dc.description.journalRegisteredClass | scopus | - |
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