Modelling public transport on-board congestion: comparing schedule-based and agent-based assignment approaches and their implications

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MARC

Cats, OdedKTH,Transportplanering, ekonomi och teknik,Delft University of Technology, Netherlands (author)

Modelling public transport on-board congestion : comparing schedule-based and agent-based assignment approaches and their implications

Article/chapterEnglish2016

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2016-10-06
Wiley-Blackwell,2016
printrdacarrier

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LIBRIS-ID:oai:DiVA.org:kth-195286
https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-195286URI
https://doi.org/10.1002/atr.1398DOI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype

Notes

QC 20161111
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.

Subject headings and genre

TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Transportteknik och logistik hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering Transport Systems and Logistics hsv//eng
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

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Hartl, M. (author)
KTHTransportplanering, ekonomi och teknik (creator_code:org_t)

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In:Journal of Advanced Transportation: Wiley-Blackwell50:6, s. 1209-12240197-67292042-3195

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By the author/editor: Cats, Oded; Hartl, M.

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ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Civil Engineerin ...; and Transport System ...

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By the university: Royal Institute of Technology

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