Challenge Data

Predicting response times of the Paris Fire Brigade vehicles
by None


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Description


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Dates

From June 10, 2019 to Dec. 31, 2020


Challenge context

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. Any use of the image or name of the Paris Fire Brigade is subject to authorization from the Paris Fire Brigade.


Challenge goals

Your task will be to predict the delay between the selection of a rescue vehicle (the time when a rescue team is warned) and the time when it arrives at the scene of the rescue request (manual reporting via portable radio).


Data description

For an up-to-date description of that challenge consult the following page: https://paris-fire-brigade.github.io/data-challenge/challenge.html


Benchmark description

For an up-to-date description of the benchmark consult the following page: https://paris-fire-brigade.github.io/data-challenge/challenge.html

 

Related courses


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Files


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The challenge provider


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Paris Fire Brigade