Paris Fire Brigade Data Challenge
Predicting response times of the Paris Fire Brigade vehicles
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.
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.
- Challenge opening date: 8 July 2019
- Challenge closing date: 31 December 2020
Latest tutorials published
06 - Set Up an OSRM Server on Ubuntu 16
date_range 13/06/2019
The Open Source Routing Machine or OSRM is a C++ implementation of a high-performance routing engine for shortest paths in road networks. Licensed under the permissive 2-clause BSD license, OSRM is a free network service hosting the following services: nearest, route, table, match, trip, tile.
We will see in this post how to deploy your own OSRM service in case you want to use it on your own data or just to not be limited by the number requests with responses like:
We will see in this post how to deploy your own OSRM service in case you want to use it on your own data or just to not be limited by the number requests with responses like:
{'message': 'Too Many Requests'}.
05 - Using data from a database
date_range 14/12/2018
For those comfortable with SQL, it may be relevant to first import the dataset into a database to conduct a first phase of exploratory data analysis and manipulation.
Once this first phase is done, Python will be used in a second phase to continue the analysis and data exploitation and data rendering activities.
Once this first phase is done, Python will be used in a second phase to continue the analysis and data exploitation and data rendering activities.
04 - Jupyter and magic commands
date_range 11/12/2018
Jupyter has a system of so-called « magic » commands with a minimalist and extensible control language.