Dynamic Public Transport in Smart City using Multi-agent system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F19%3A00333259" target="_blank" >RIV/68407700:21260/19:00333259 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/19:00333259
Result on the web
<a href="https://doi.org/10.1109/SCSP.2019.8805716" target="_blank" >https://doi.org/10.1109/SCSP.2019.8805716</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SCSP.2019.8805716" target="_blank" >10.1109/SCSP.2019.8805716</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic Public Transport in Smart City using Multi-agent system
Original language description
—Smart City is now widely discussed and applied to all disciplines where Public transport is one of them. The aim of this paper is to define dynamic public transport in Smart City and describe transport organisation using multi-agent systems based on different data sources. Input parameters from the sensor network represent on-line demand for public transport. The better understanding of the demand for public transport the better offer can public transport operator provide to citizens. The more satisfied costumers the more attractive will be the public transport in the city. The dynamic public transport offer is computed by multi-agent system that continuously process all available on-line data and propose dynamic routes and time-schedules of different public transport means (small buses, etc.).
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20104 - Transport engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 Smart City Symposium Prague
ISBN
978-1-7281-0497-3
ISSN
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e-ISSN
—
Number of pages
5
Pages from-to
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Publisher name
IEEE Press
Place of publication
New York
Event location
Praha
Event date
May 23, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000519240800005