his.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Modelling Stochastic Elements in Transportation System Simulation: Evidence from Four Projects
Lappeenranta University of Technology.
Lappeenranta University of Technology.
Högskolan i Skövde, Institutionen för teknik och samhälle. Högskolan i Skövde, Forskningscentrum för Virtuella system.
2008 (engelsk)Inngår i: Fourth International Railway Logistics Seminar: Co-operation among Transportation Modes in Northern Europe, Lappeenranta University of Technology , 2008, s. 53-78Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

 

Discrete event system simulation is often seen as a genuine tool to investigate the performance of transportation systems. The complexity of real-world systems often prevents us from accurately describing these by a mathematical model that can be evaluated analytically, thus, simulation is often the only realistic alternative. Another advantage of the simulation is the ability to include statistical analysis for different simulation scenarios.

In this paper we discuss the main problems concerning the modelling of transportation systems. Well-known approaches of incorporating uncertainty into models include trace driven simulations and sampling directly from gathered data (this latter could also be presented by a fitting statistical distribution). Another aspect to be taken into account is the economics of simulation modelling; a more detailed model requires additional building time, and proper treatment of stochastic models requires statistical analysis, which again usually implies several simulation runs. From this outset the following question arises: Should stochastic behaviour be included in transportation simulation models in the first place at all?

We present real case examples including evaluation of a railway transportation concept, capacity analysis of an automatic guided vehicle system, CBA of a railway network investment and evaluation of different multipurpose railway wagons, where stochastic behaviour is dealt with in different ways. Based on the cases we make an initial attempt to formulate framework for deciding how to include stochastic behaviour in the simulation model. We stress that the metrics used to evaluate system performance should be included in the framework. For further research topics we suggest formulating explicit guidelines to deal with stochastics to increase the efficiency of model building.

 

sted, utgiver, år, opplag, sider
Lappeenranta University of Technology , 2008. s. 53-78
Serie
Research Report, ISSN 1459-3173 ; 200
Emneord [en]
Transportation systems, simulation, stochastic variables
Forskningsprogram
Teknik
Identifikatorer
URN: urn:nbn:se:his:diva-2863ISBN: 978-952-214-601-4 OAI: oai:DiVA.org:his-2863DiVA, id: diva2:208207
Tilgjengelig fra: 2009-03-16 Laget: 2009-03-16 Sist oppdatert: 2017-11-27

Open Access i DiVA

Fulltekst mangler i DiVA

Personposter BETA

Ujvari, Sandor

Søk i DiVA

Av forfatter/redaktør
Ujvari, Sandor
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric

isbn
urn-nbn
Totalt: 900 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf