Data driven method of pedestrian flow estimation for evacuation scenario using queuing model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F16%3APU121526" target="_blank" >RIV/00216305:26110/16:PU121526 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21340/16:00316777

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Data driven method of pedestrian flow estimation for evacuation scenario using queuing model

Popis výsledku v původním jazyce

In this paper the authors introduce an efficient estimation tool of coming pedestrian flow during evacuation scenario. Such an estimation can be used to forestall possible threads like: clogging before exits or congestions with high density of pedestrians. A graph that represents the whole building is created – each room, or group of rooms can be represented as a single node. Actual output flow from external nodes (leaves) are measured using depth map sensors, and then propagated to each nodes of the graph using a queuing model. Proposed method is expandable i.e. one can use other flow sensors (e.g. CCTV underneath cameras or mobiles) also the propagation of flow can be executed using other methods – e.g. crowd dynamics simulations. However, the authors believe that described solution is the best choice for efficient estimation of pedestrian flow in indoor evacuation scenarios.

Název v anglickém jazyce

Data driven method of pedestrian flow estimation for evacuation scenario using queuing model

Popis výsledku anglicky

In this paper the authors introduce an efficient estimation tool of coming pedestrian flow during evacuation scenario. Such an estimation can be used to forestall possible threads like: clogging before exits or congestions with high density of pedestrians. A graph that represents the whole building is created – each room, or group of rooms can be represented as a single node. Actual output flow from external nodes (leaves) are measured using depth map sensors, and then propagated to each nodes of the graph using a queuing model. Proposed method is expandable i.e. one can use other flow sensors (e.g. CCTV underneath cameras or mobiles) also the propagation of flow can be executed using other methods – e.g. crowd dynamics simulations. However, the authors believe that described solution is the best choice for efficient estimation of pedestrian flow in indoor evacuation scenarios.

Druh

O - Ostatní výsledky

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA15-15049S" target="_blank" >GA15-15049S: Detekce stochastických univerzalit v nerovnovážných stavech sociofyzikálních systémů metodami teorie náhodných matic</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů