Intelligent Road Safety Navigation in Sri Lanka: A Review of Machine Learning Techniques and Proposal of a Model for Predicting Accident Hotspots and Severity
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Sri Lanka Technology Campus
Abstract
Both public safety and the stability of the economy
are seriously threatened by traffic accidents. Like many other
regions, Sri Lanka is faced with the challenge of road accidents,
which hinder the path to safer roads. One of the reasons that
accidents occur is that people are unaware of common accident
locations. The government has already enforced other tactics,
like traffic signals and fines, to reduce these incidents, but they
have been ineffective. In order to decrease road accidents, people
must change their driving patterns. While looking for a solution
to that problem, existing studies around the world have proposed
predictive machine learning models for accident-prone locations
known as hotspots and severity levels. But there were not any
existing studies that proposed a solution that was suitable for Sri
Lanka. This research seeks to address these challenges by
conducting an in-depth review of existing machine learning
techniques and proposing the most suitable model approaches
for prediction of accident hotspots and severity in Sri Lanka
based on the availability of the accident data. One of the main
objectives is to identify the correct machine learning techniques.
According to studies, 81% used the 'Random Forest' algorithm,
which is a supervised machine learning algorithm for the
prediction. And Random Forest performed better in
approximately 69% of the studies. And this research is not just
proposing suitable model approaches for predictions. It provides
the foundation to revolutionize road safety through the
development of an intelligent road safety mobile navigation
application
Description
Citation
Intelligent Road Safety Navigation in Sri Lanka: A Review of Machine Learning Techniques and Proposal of a Model for Predicting Accident Hotspots and Severity JMCT Jayamanna Faculty Of Computing General Sir John Kotelawala Defence University Sri Lanka 38-bcs-0012@kdu.ac.lk Pradeep Kalansooriya Faculty Of Computing General Sir John Kotelawala Defence University Sri Lanka pradeepkalansooriya@kdu.aclk