Can AI make our emergency services more efficient?

Fontys Information and Communication Technology
Our emergency services are incredibly important in times of crisis. Think of the fire brigade, ambulances, and the police, but there are many more. To be quickly on the scene, first responder organizations are constantly looking for the best placement and planning, but how can you optimize that in the Brainport region? ICT & Business student Aleksander Nechev delved into the data to find a solution within the AI for Society minor commissioned by the Safety & Security Campus.

Data as a Starting Point

The group of students received a dataset to work with, containing information about interventions by emergency services within the city. Previous student teams have already extracted valuable insights from this data, and with various artificial intelligence (AI) applications, they sought answers. Aleksander and his groupmates also tackled this, asking: how can we use this data to provide advice for better deployment and optimization of response times for these emergency services.

Cluster Mixture Model

The dataset contained information about incidents within the city. The students decided to cluster these using a so-called cluster mixture model. With this AI model, the city map can be visualized based on historical data with clusters of accidents. These clusters provide better insight into the focus areas for emergency services and are thus useful in more effectively distributing vehicle placements, consequently accelerating response times. The clusters also teach us about the distribution of incidents and help identify hotspots. This information enables better decision-making.

In the video, Aleksander explains the project's scope and the challenges faced.

Tags: Education