Traffic accidents analytics in UK urban areas using k-means clustering for geospatial mapping
Sinclair, C; Das, S
Date: 16 March 2021
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
The goal of this paper is to use the unsupervised
machine learning method in road accident analytics, especially
using k-means clustering to identify patterns and understand
the relationships between variables recorded by the UK police
department. These include features like number of casualties,
number of vehicles, age of vehicle ...
The goal of this paper is to use the unsupervised
machine learning method in road accident analytics, especially
using k-means clustering to identify patterns and understand
the relationships between variables recorded by the UK police
department. These include features like number of casualties,
number of vehicles, age of vehicle and age bracket of the driver.
We aim to describe clusters of accidents based on similarity
measures in the features and identify what separates each one.
Mathematics and Statistics
Faculty of Environment, Science and Economy
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