Multiagent Traffic Microsimulation as a Tool for an Artificial Traffic Data Generating
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F13%3A86099844" target="_blank" >RIV/61989100:27350/13:86099844 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.5593/SGEM2013/BB2.V1/S07.022" target="_blank" >http://dx.doi.org/10.5593/SGEM2013/BB2.V1/S07.022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/SGEM2013/BB2.V1/S07.022" target="_blank" >10.5593/SGEM2013/BB2.V1/S07.022</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Multiagent Traffic Microsimulation as a Tool for an Artificial Traffic Data Generating
Popis výsledku v původním jazyce
Transportation and transport systems are composed of many autonomous entities that show signs of intelligence. Thanks their geographical distribution and the dynamically changing environment, in which subsystems exist, is this domain good example, in which it is appropriate to apply to simulation the agent based approach in microsimulation level. Due to intensive development of technologies that are integrated into roads, their surroundings and vehicles itself, are opportunities of real time transport mobility modeling increasing. Data, which are generated by traffic infrastructure, are important inputs for the real time model of traffic mobility. Nevertheless these data may have some failures or geographic, time or other restrictions. It is therefore appropriate to develop tools that artificially create missing data - which can then be assimilated with real data. In this paper the mechanism, describing strategies of generating artificial data by using microsimulations, is presented. There is defined the ontology which is necessary for comprehensive solution and the traffic microsimulation based on our own multiagent framework is described as well. Over this microsimulation the system for generating the traffic data is built. For a simple assimilation is important that the structure of artificial data has to be identical to the structure of real ones.
Název v anglickém jazyce
Multiagent Traffic Microsimulation as a Tool for an Artificial Traffic Data Generating
Popis výsledku anglicky
Transportation and transport systems are composed of many autonomous entities that show signs of intelligence. Thanks their geographical distribution and the dynamically changing environment, in which subsystems exist, is this domain good example, in which it is appropriate to apply to simulation the agent based approach in microsimulation level. Due to intensive development of technologies that are integrated into roads, their surroundings and vehicles itself, are opportunities of real time transport mobility modeling increasing. Data, which are generated by traffic infrastructure, are important inputs for the real time model of traffic mobility. Nevertheless these data may have some failures or geographic, time or other restrictions. It is therefore appropriate to develop tools that artificially create missing data - which can then be assimilated with real data. In this paper the mechanism, describing strategies of generating artificial data by using microsimulations, is presented. There is defined the ontology which is necessary for comprehensive solution and the traffic microsimulation based on our own multiagent framework is described as well. Over this microsimulation the system for generating the traffic data is built. For a simple assimilation is important that the structure of artificial data has to be identical to the structure of real ones.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
SGEM 2013 : 13th international multidisciplinary scientific geoconference : GeoConference on Informatics, Geoinformatics and Remote Sensing : 16-22, June, 2013, Albena, Bulgaria : conference proceedings. [Book 2]. Volume I
ISBN
978-954-91818-9-0
ISSN
1314-2704
e-ISSN
—
Počet stran výsledku
8
Strana od-do
167-174
Název nakladatele
STEF92 Technology Ltd.
Místo vydání
Sofia
Místo konání akce
Albena
Datum konání akce
16. 6. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000349067200022