Multiagent Traffic Microsimulation as a Tool for an Artificial Traffic Data Generating
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Multiagent Traffic Microsimulation as a Tool for an Artificial Traffic Data Generating
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
—
Number of pages
8
Pages from-to
167-174
Publisher name
STEF92 Technology Ltd.
Place of publication
Sofia
Event location
Albena
Event date
Jun 16, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000349067200022