View Proposal
-
Proposer
-
Eric Nimako Aidoo
-
Title
-
Machine Learning Applications in Road Traffic Crashes
-
Goal
-
Develop machine learning models to describe the impact of climate change on road traffic crashes
-
Description
- Road traffic crashes is one of the leading course of death across the globe. It has a significant impact on the victims, family, society and the economy as a whole.
Despite advancements in road infrastructure and automobiles, it is estimated that approximately 1.19 million people die each year worldwide due to road traffic crashes. There are several factors that influence road traffic crashes and the associated mortality.
The need for effective and efficient machine learning ensembles to uncover complex patterns and relationships in such data has become important.
- Resources
-
-
Background
-
-
Url
-
-
Difficulty Level
-
Moderate
-
Ethical Approval
-
None
-
Number Of Students
-
3
-
Supervisor
-
Eric Nimako Aidoo
-
Keywords
-
machine learning models, road traffic crashes, model comparison
-
Degrees
-
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Master of Science in Data Science
Bachelor of Science in Statistical Data Science