Improved fuzzy decision support system for human-realistic overtaking in railway traffic simulations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F23%3A39920247" target="_blank" >RIV/00216275:25530/23:39920247 - isvavai.cz</a>
Result on the web
<a href="https://www.cal-tek.eu/proceedings/i3m/2023/emss/004/" target="_blank" >https://www.cal-tek.eu/proceedings/i3m/2023/emss/004/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.46354/i3m.2023.emss.004" target="_blank" >10.46354/i3m.2023.emss.004</a>
Alternative languages
Result language
angličtina
Original language name
Improved fuzzy decision support system for human-realistic overtaking in railway traffic simulations
Original language description
In a simulation model of a railway system it is a necessity, to have realistic train overtaking behavior during disturbances. Manysimulation tools address this problem by using simple overtaking solutions, such as look ahead. These tend to be non-intuitive to configure and often not very human-realistic. The goal of this paper is to design a fuzzy system that can easily be used to simulatehuman-realistic overtaking behavior. A fuzzy system has been chosen because this approach is well-suited for human-style decision making. The presented fuzzy system considers timetables, train positions, delays, buffer times etc. as inputs and provides instructions to the simulation tool whether given train should or should not be overtaken. Finally the performance of the system is evaluated by a case study simulating a part of the railway system in the Czech Republic around the town of Pardubice.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 35th European Modeling & Simulation Symposium (EMSS 2023)
ISBN
978-88-85741-88-1
ISSN
2305-2023
e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
CAL-TEK SRL
Place of publication
Rende
Event location
Atény
Event date
Sep 18, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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