Data Quality Enhancement for Traffic Accident Data

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Author(s)
Primary Supervisor
Liew, Alan
Other Supervisors
Wang, Junhu
Year published
2017
Metadata
Show full item recordAbstract
Death, 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, ...
View more >Death, 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.
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View more >Death, 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.
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Thesis Type
Thesis (PhD Doctorate)
Degree Program
Doctor of Philosophy (PhD)
School
School of Information and Communication Technology
Copyright Statement
The author owns the copyright in this thesis, unless stated otherwise.
Subject
Traffic accident data
Data quality
Traffic accident analysis