Traffic Accidents Analytics in UK Urban Areas using k-means Clustering for Geospatial Mapping

Autor:	Saptarshi Das, Christopher Sinclair
Rok vydání:	2021
Předmět:	Road accident Geospatial analysis Computer science business.industry Law enforcement k-means clustering computer.software_genre Data science Similarity (network science) Analytics Unsupervised learning Cluster analysis business computer
Zdroj:	2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET).
DOI:	10.1109/sefet48154.2021.9375817
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1967dbe2fc96d14bd34ae8cad1fbe91d https://doi.org/10.1109/sefet48154.2021.9375817 Zobrazit plný text záznamu