Improve urban passenger transport management by rationally forecasting traffic congestion probability

A Bayesian network (BN) approach is proposed in this study to analyse the overall traffic congestion probability of an urban road network in consideration of the influence of applying various transport policies. The continually expanding urbanised region of Beijing has been chosen as the study area...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Feng, Xuesong [verfasserIn]

Saito, Mitsuru

Liu, Yi

Format:

Artikel

Sprache:

Englisch

Erschienen:

2016

Rechteinformationen:

Nutzungsrecht: © 2015 Informa UK Limited, trading as Taylor & Francis Group 2015

Schlagwörter:

urban transport operation management

probabilistic forecast modelling

traffic congestion probability

Bayesian network

policy application effect analysis

Traffic congestion

Probability

Roads & highways

Übergeordnetes Werk:

Enthalten in: International journal of production research - London : Taylor & Francis, 1961, 54(2016), 12, Seite 3465-10

Übergeordnetes Werk:

volume:54 ; year:2016 ; number:12 ; pages:3465-10

Links:

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DOI / URN:

10.1080/00207543.2015.1062570

Katalog-ID:

OLC1977020771

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