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dc.contributor.advisorLiew, Alan
dc.contributor.authorDeb , Rupam
dc.date.accessioned2018-01-23T02:55:40Z
dc.date.available2018-01-23T02:55:40Z
dc.date.issued2017
dc.identifier.doi10.25904/1912/1309
dc.identifier.urihttp://hdl.handle.net/10072/367725
dc.description.abstractDeath, injury, and disability resulting from road traffic crashes continue to be a major global public health problem. Recent data suggest that the number of fatalities from traffic crashes is in excess of 1.25 million people each year with non-fatal injuries affecting a further 20-50 million people. It is predicted that by 2030, road traffic accidents will have progressed to be the 5th leading cause of death and that the number of people who will die annually from traffic accidents will have doubled from current levels. Both developed and developing countries suffer from the consequences of the increase in human population, and consequently, vehicle numbers. Therefore, methods to reduce accident severity are of great interest to traffic agencies and the public at large. To analyze traffic accident factors effectively, a complete traffic accident historical database is needed. Road accident fatality rates depend on many factors, so it is a very challenging task to investigate the dependencies between the attributes because of the many environmental and road accident factors. Missing data and noisy data in the database obscure the discovery of important factors and lead to invalid conclusions.
dc.languageEnglish
dc.publisherGriffith University
dc.publisher.placeBrisbane
dc.rights.copyrightThe author owns the copyright in this thesis, unless stated otherwise.
dc.subject.keywordsTraffic accident data
dc.subject.keywordsData quality
dc.subject.keywordsTraffic accident analysis
dc.titleData Quality Enhancement for Traffic Accident Data
dc.typeGriffith thesis
dc.date.embargoEnd2018-08-18
gro.facultyScience, Environment, Engineering and Technology
gro.rights.copyrightThe author owns the copyright in this thesis, unless stated otherwise.
gro.hasfulltextFull Text
dc.contributor.otheradvisorWang, Junhu
gro.identifier.gurtIDgu1513042917718
gro.thesis.degreelevelThesis (PhD Doctorate)
gro.thesis.degreeprogramDoctor of Philosophy (PhD)
gro.departmentSchool of Information and Communication Technology
gro.griffith.authorDeb, Rupam


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