Team Collision

Problem and Motivation

In United Kingdom (UK), road traffic accidents have resulted in 1,732 deaths in the year 2015, which is a 2% dip as compared to the year 2014. Despite the drop in the number of deaths, the casualties across all severities remained at an alarming figure of 186,209. As there is an increasing demand for the use of public roads, there is a strong need for us to prevent road traffic accidents and make the public roads as safe as possible. In order to prevent such accidents, it is therefore crucial to understand what are the different factors that contribute to road traffic accidents, and these understandings may then be used to prevent road traffic accidents from occurring.

Objective

The objective of the project is to:

• Understand the demographics of drivers
  1. Distribution of age of drivers.
• Understand the demographics of casualties
  1. Distribution of age of casualties.
  2. Distribution of severity of casualties.
  3. Distribution of type of casualties.
• Examine the underlying factors which contributes to accidents. The following are some factors, but not limited to:
  1. Temporal patterns: Accident records based on time.
  2. Weather conditions: Which type of weather conditions would cause more accidents?
  3. Road conditions: Which type of road conditions would cause more accidents?
  4. Location: Which city has the most accidents?
• Develop appropriate interactive visualisation to allow discovery of insights from multiple dimensions from the dataset.