<commit_before>---
layout: post
comments: true
title: "Reaching the Optimal Dispatch for an Emergency Dispatch System"
categories: [project, post]
author: "<NAME>" 
tags: ["mission critical technologies", "london tech week"]
---

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		<img src="{{ '/images/01-Project-Getting_a_clear_picture_on_the_front_line/coverage_capacity.jpg' | relative_url }}" class="responsive-img">
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		Nowadays emergency services have a great opportunity to improve their service, thanks to the latest technical advances. By giving managers a better view of the actual coverage of the population and optimizing the relief allocation process, resources will be better exploited and more lives will be saved. Actual emergency dispatch systems are not optimal. An optimal engagement of a rescue team following an emergency call does not necessarily result in the assignment of the one offering the shortest transit delay. It should be used in cases where the urgency is known. However, this selection should be put into perspective for situations that are less critical. For these less critical cases, the service coverage preservation should be taken into account in order to ensure a good quality of service for emergency assistance requests with proven severity. Sadly, it is not what current systems do. This article exposes this problem and technical solutions to resolve it. 
	</div>
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<p style="text-align: right"><a href="https://benjamin-berhault.github.io/Getting-a-clear-picture-on-the-front-line"><i class="material-icons" style="vertical-align:middle">view_carousel</i>&nbsp;&nbsp;<i>London Tech Week 2018 Presentation</i></a></p>

<video style='width: 100%;height: 100%;' controls>
 <source src="{{ site.url }}/videos/split_second_decision.mp4" type="video/mp4">
Your browser does not support the video tag.
</video>

What is the basis of an emergency service's effectiveness?

Like many other activities, the ability to **take the right decision at the right time**.

Either for an emergency dispatch system, its ability to **allocate the most suitable team for a given request**. 

And with thousands of daily calls, most of which are not what we define as an emergency, the challenge relief services are facing is to maintain enough units to respond to potential future critical demands.<commit_msg>10th of october<commit_after>---
layout: post
comments: true
title: "Reaching the Optimal Dispatch for an Emergency Dispatch System"
categories: [project, post]
author: "<NAME>" 
tags: ["mission critical technologies", "london tech week"]
---

<div class="row">
	<div class="col grid s12 m6 l3">
		<img src="{{ '/images/01-Project-Getting_a_clear_picture_on_the_front_line/coverage_capacity.jpg' | relative_url }}" class="responsive-img">
	</div>
	<div class="col grid s12 m6 l9 ">
		Nowadays emergency services have a great opportunity to improve their service, thanks to the latest technical advances. By giving managers a better view of the actual coverage of the population and optimizing the relief allocation process, resources will be better exploited and more lives will be saved. Actual emergency dispatch systems are not optimal. An optimal engagement of a rescue team following an emergency call does not necessarily result in the assignment of the one offering the shortest transit delay. It should be used in cases where the urgency is known. However, this selection should be put into perspective for situations that are less critical. For these less critical cases, the service coverage preservation should be taken into account in order to ensure a good quality of service for emergency assistance requests with proven severity. Sadly, it is not what current systems do. This article exposes this problem and technical solutions to resolve it. 
	</div>
</div>

Today's technological progress allow you with the computing power of a netbook to get the response capacity of each road segments of a Brigade (that is around 140 000 for Paris as for London) in less than a second. Sadly most of emergency services do not have such a precise information, as for example the Paris Fire Brigade with only a 70 pixels resolution information to manage their ressources and taking seconds to be displayed.

Here, I will show you that :
<div style="padding-left: 30px">
&bull; a <b>high resolution</b> coverage capacity of a Brigade can be computed in <b>less than a second</b>, <br>
&bull; <b>why</b> it's important <br>
&bull; and <b>how</b> we can <b>improve the efficiency</b> of an emergency service with that information.
</div>


<p style="text-align: right"><a href="https://benjamin-berhault.github.io/Getting-a-clear-picture-on-the-front-line"><i class="material-icons" style="vertical-align:middle">view_carousel</i>&nbsp;&nbsp;<i>London Tech Week 2018 Presentation</i></a></p>

<video style='width: 100%;height: 100%;' controls>
 <source src="{{ site.url }}/videos/split_second_decision.mp4" type="video/mp4">
Your browser does not support the video tag.
</video>

What is the basis of an emergency service's effectiveness?

Like many other activities, the ability to **take the right decision at the right time**.

Either for an emergency dispatch system, its ability to **allocate the most suitable team for a given request**. 

And with thousands of daily calls, most of which are not what we define as an emergency, the challenge relief services are facing is to maintain enough units to respond to potential future critical demands.
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