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 public transport on-board congestion: comparing schedule-based and agent-based assignment approaches and their implications
KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Transportvetenskap, Transportplanering, ekonomi och teknik. Delft University of Technology, Netherlands.ORCID-id: 0000-0002-4506-0459
2016 (engelsk)Inngår i: Journal of Advanced Transportation, ISSN 0197-6729, E-ISSN 2042-3195, Vol. 50, nr 6, s. 1209-1224Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Transit systems are subject to congestion that influences system performance and level of service. The evaluation of measures to relieve congestion requires models that can capture their network effects and passengers' adaptation. In particular, on-board congestion leads to an increase of crowding discomfort and denied boarding and a decrease in service reliability. This study performs a systematic comparison of alternative approaches to modelling on-board congestion in transit networks. In particular, the congestion-related functionalities of a schedule-based model and an agent-based transit assignment model are investigated, by comparing VISUM and BusMezzo, respectively. The theoretical background, modelling principles and implementation details of the alternative models are examined and demonstrated by testing various operational scenarios for an example network. The results suggest that differences in modelling passenger arrival process, choice-set generation and route choice model yield systematically different passenger loads. The schedule-based model is insensitive to a uniform increase in demand or decrease in capacity when caused by either vehicle capacity or service frequency reduction. In contrast, nominal travel times increase in the agent-based model as demand increases or capacity decreases. The marginal increase in travel time increases as the network becomes more saturated. Whilst none of the existing models capture the full range of congestion effects and related behavioural responses, existing models can support different planning decisions.

sted, utgiver, år, opplag, sider
Wiley-Blackwell, 2016. Vol. 50, nr 6, s. 1209-1224
Emneord [en]
capacity, congestion, model comparison, network assignment, public transport, simulation model, transit networks, Autonomous agents, Computational methods, Mass transportation, Traffic control, Transportation, Travel time, Traffic congestion
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-195286DOI: 10.1002/atr.1398ISI: 000386040200016Scopus ID: 2-s2.0-84978967672OAI: oai:DiVA.org:kth-195286DiVA, id: diva2:1045977
Merknad

QC 20161111

Tilgjengelig fra: 2016-11-11 Laget: 2016-11-02 Sist oppdatert: 2017-11-29bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Cats, Oded

Søk i DiVA

Av forfatter/redaktør
Cats, Oded
Av organisasjonen
I samme tidsskrift
Journal of Advanced Transportation

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 246 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