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Transportation Research Procedia
Article . 2017 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Transportation Research Procedia
Article
License: CC BY NC ND
Data sources: UnpayWall
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Article . 2018
License: CC BY NC ND
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Formulation of the Transit Link Transmission Model

Authors: Gentile, Guido;

Formulation of the Transit Link Transmission Model

Abstract

Abstract In this paper we present a new kind of dynamic assignment model for public transport, including transit and pedestrian networks, that is capable of representing single runs, whose schedule is possibly affected by congestion. To this end we avoid introducing explicitly a diachronic graph and rely just on a spatial/functional graph, like in frequency based models. More specifically, we here extend to transit networks the framework of the Link Transmission Models, so far applied only to road networks (Yperman, 2007; Gentile, 2010; Gentile, 2015). The focus of LTM is the propagation, affected by congestion, of flows on the network, for given route choices. In this framework, both schedule based and frequency based passenger behaviors can be implicitly simulated by properly setting time-varying splitting rates. The core of the proposed Transit Link Transmission Model (TLTM) is the node model, which aims at reproducing the flow conflicts (congestion) occurring at bus stops and rail platforms, such as: passengers that fail-to-board or fail-to-sit due to vehicle overcrowding, vehicles queueing to serve a stop, doors opened longer to allow passengers alighting and boarding. The formulation and implementation of the TLTM will be presented in the following, while the application of the model on test and real networks will be presented in a forthcoming paper.

Country
Italy
Keywords

dynamic network loading; passenger queue at stop; public transport network; schedule based assignment; vehicle capacity constraints

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
gold