dc.contributor.author |
Wevita, Ayeshmitha |
|
dc.date.accessioned |
2022-10-19T08:43:58Z |
|
dc.date.available |
2022-10-19T08:43:58Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Wevita Ayeshmitha (2020) Accident Prediction Analyzer A Centralized Database and A Prediction Model for Fatal Road Accidents in Sri Lanka Bsc. Dissertation Informatics Institute of Technology |
en_US |
dc.identifier.issn |
2016061 |
|
dc.identifier.uri |
http://dlib.iit.ac.lk/xmlui/handle/123456789/1116 |
|
dc.description.abstract |
"Fatal road accidents have become one of the grave problems faced by the public not only
in Sri Lanka, but around the world. The ignorance about the problem and not following
enough safety methods have caused the drastic increase of deaths and injuries in the past
couple of years in the island. With the number of deaths occurring per day in the island due
to fatalities have increased it came to attention what is causing the increase.
The project is aiming identify and analyze factors causing the drastic increase of fatal road
accidents and the limitations faced by the Department of Police and to provide an IT
solution to the department to overcome the obstacles and ensure road safety.
The findings in the problem domain were evaluated through exiting literature and further
investigated through direct inputs from officers, interviews and questionnaires distributed
among officers.
The results highlight the need of an IT solution to support the police authorities in
recognizing patterns in fatal road accidents in order to provide guidance in decision making
and impose laws to ensure road safety.
Accident prediction analyzer is a web application to be only used within Sri Lanka Police
Department which will be a change in direction of the manual processes currently followed.
The solution will work as a data repository, dashboard and a prediction analysis component
regarding fatal road accidents.
The solution was evaluated based on the feedback of users of the application and IT experts
to establish the validity and the success of the solution and was recommended to address
the recognized problem and will provided guidance in ensuring road safety" |
en_US |
dc.language.iso |
en |
en_US |
dc.title |
Accident Prediction Analyzer A Centralized Database and A Prediction Model for Fatal Road Accidents in Sri Lanka |
en_US |
dc.type |
Thesis |
en_US |