Application of Markov processes to transport systems modelling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F15%3A00235045" target="_blank" >RIV/68407700:21340/15:00235045 - isvavai.cz</a>

Výsledek na webu

<a href="http://kis.agh.edu.pl/aktualnosci/2015/10/06/seminarium_kis_zjawisko_zycia_w_swietle_cybernetyki" target="_blank" >http://kis.agh.edu.pl/aktualnosci/2015/10/06/seminarium_kis_zjawisko_zycia_w_swietle_cybernetyki</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of Markov processes to transport systems modelling

Popis výsledku v původním jazyce

Mass Transport Systems represent a wide class of processes characterized, as the name suggests, by the transportation of masses from one place to another. The presentation focuses mainly on such processes, which are related to traffic or pedestrian flowmodelling, i.e., the transported masses are countable (vehicles, pedestrians). So defined processes can usually be interpreted as Markov chains with finite state space. Therefore, we can use developed theory of Markov processes to calculate stationary behaviour of wanted quantities, mean time to absorption, etc. But is such approach always useful or even possible? The presentation discusses, in which cases the Markov chain approach can be used directly and when it is beneficial to use some approximativeapproach.

Název v anglickém jazyce

Application of Markov processes to transport systems modelling

Popis výsledku anglicky

Mass Transport Systems represent a wide class of processes characterized, as the name suggests, by the transportation of masses from one place to another. The presentation focuses mainly on such processes, which are related to traffic or pedestrian flowmodelling, i.e., the transported masses are countable (vehicles, pedestrians). So defined processes can usually be interpreted as Markov chains with finite state space. Therefore, we can use developed theory of Markov processes to calculate stationary behaviour of wanted quantities, mean time to absorption, etc. But is such approach always useful or even possible? The presentation discusses, in which cases the Markov chain approach can be used directly and when it is beneficial to use some approximativeapproach.

Druh

O - Ostatní výsledky

CEP obor

BE - Teoretická fyzika

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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