Data Science for Emergency Services v0.0.1

Emergency request oracle

Category: Project to start | Status: Not started yet, waiting for contributors

April 16, 2020 1 min to read

GitHub repo
Predict the demand for relief at high spatial resolution.

Project not started yet, waiting for contributors.

Starting point:

Predicting taxi demand at high spatial resolution: Approaching the limit of predictability, Conference: 2016 IEEE International Conference on Big Data (Big Data)

The response time is one of the most important factors for emergency services because their ability to save lives and rescue people depends on it. A non-optimal choice of an emergency vehicle for a rescue request may lengthen the arrival time of the rescuers and impact the future of the victim. This choice is therefore highly critical for emergency services and directly rely on their ability to predict precisely the arrival time of the different units available.

Real-Time Units Gps Tracking

16/05/2020

This project show how to broadcast, consume and plot GPS data in real-time. See the README.md on GitHub for details.

Real-Time Data Replication Between Remote Information Systems

26/04/2020

More than ever people are expecting to share, access and get data processed in real-time. Unfortunately on this subject, public services are lagging far behind the private sector.

Emergency request oracle

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