Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks

This article focuses on the simulation of transit networks, including passengers’ congestion phenomena and strategic behaviour, as a tool for planning and operation. Specifically, it describes a model of user equilibrium on large-scale transit networks considering on-board overcrowding, queuing at s...

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Main Authors: Bresciani Miristice Lory Michelle, Menichetti Dario, Gentile Guido
Format: Article
Language:English
Published: Sciendo 2018-06-01
Series:Transport and Telecommunication
Subjects:
Online Access:https://doi.org/10.2478/ttj-2018-0007
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spelling doaj-05ed763ebea5430b9b4eb292898bf0062021-09-05T21:24:15ZengSciendoTransport and Telecommunication1407-61792018-06-01192779210.2478/ttj-2018-0007ttj-2018-0007Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit NetworksBresciani Miristice Lory Michelle0Menichetti Dario1Gentile Guido2Università di Roma La Sapienza Via Eudossiana 18 - 00184 Roma, ItalyUniversità IUAV di Venezia Ca' Tron Santa Croce 195 - 30135 Venezia, ItalyUniversità di Roma La Sapienza Via Eudossiana 18 - 00184 Roma, ItalyThis article focuses on the simulation of transit networks, including passengers’ congestion phenomena and strategic behaviour, as a tool for planning and operation. Specifically, it describes a model of user equilibrium on large-scale transit networks considering on-board overcrowding, queuing at stops and dwelling delay, and representing in addition the effects of random events, such as the availability of seats and the waiting of vehicles, through hyperarcs. The assignment algorithm computes a strategy-based user equilibrium with implicit hyperpath enumeration by solving a fixed-point formulation, through a gradient projection method, which highly improves convergence performance. The model was implemented in .net as a dll that uses the software PTV Visum as I/O source. This article will focus on the model formulation and its capability of reproducing the target phenomena, while the results of model validation and testing will be described in a following paper.https://doi.org/10.2478/ttj-2018-0007public transport assignmenthyperpathsuser equilibriumfailing probabilitiescommon lines
collection DOAJ
language English
format Article
sources DOAJ
author Bresciani Miristice Lory Michelle
Menichetti Dario
Gentile Guido
spellingShingle Bresciani Miristice Lory Michelle
Menichetti Dario
Gentile Guido
Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks
Transport and Telecommunication
public transport assignment
hyperpaths
user equilibrium
failing probabilities
common lines
author_facet Bresciani Miristice Lory Michelle
Menichetti Dario
Gentile Guido
author_sort Bresciani Miristice Lory Michelle
title Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks
title_short Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks
title_full Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks
title_fullStr Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks
title_full_unstemmed Simulation of Congestion Phenomena and Strategic Passenger Behaviour on Transit Networks
title_sort simulation of congestion phenomena and strategic passenger behaviour on transit networks
publisher Sciendo
series Transport and Telecommunication
issn 1407-6179
publishDate 2018-06-01
description This article focuses on the simulation of transit networks, including passengers’ congestion phenomena and strategic behaviour, as a tool for planning and operation. Specifically, it describes a model of user equilibrium on large-scale transit networks considering on-board overcrowding, queuing at stops and dwelling delay, and representing in addition the effects of random events, such as the availability of seats and the waiting of vehicles, through hyperarcs. The assignment algorithm computes a strategy-based user equilibrium with implicit hyperpath enumeration by solving a fixed-point formulation, through a gradient projection method, which highly improves convergence performance. The model was implemented in .net as a dll that uses the software PTV Visum as I/O source. This article will focus on the model formulation and its capability of reproducing the target phenomena, while the results of model validation and testing will be described in a following paper.
topic public transport assignment
hyperpaths
user equilibrium
failing probabilities
common lines
url https://doi.org/10.2478/ttj-2018-0007
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AT gentileguido simulationofcongestionphenomenaandstrategicpassengerbehaviourontransitnetworks
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