Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions

Jeroen van der Gun; Adam Pel; Bart van Arem

doi:10.1016/j.procs.2016.04.185

Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions

Jeroen van der Gun, Adam Pel, Bart van Arem

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

49 Downloads (Pure)

Abstract

While agent-based modelling of traffic demand is gaining attention, a macroscopic dynamic network loading model may be beneficial, particularly in large-scale applications. We investigate the implications of coupling such models, with inclusion of en-route choices, for the modelling of links and the determination of turning fractions, yielding useful recommendations to help select an appropriate solution scheme of the macroscopic traffic flow theory and overcome other practical challenges specifically associated with the coupling of agent-based traffic demand and macroscopic traffic propagation.

Original language	English
Title of host publication	Procedia Computer Science1877-0509
Pages	914-920
Number of pages	7
Volume	83
DOIs	https://doi.org/10.1016/j.procs.2016.04.185
Publication status	Published - 13 May 2016
Event	5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS) - Technical University of Madrid, Madrid, Spain Duration: 23 May 2016 → 26 May 2016

Conference

Conference	5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS)
Country/Territory	Spain
City	Madrid
Period	23/05/16 → 26/05/16

Keywords

agent-based modelling
dynamic network loading
macroscopic traffic model
en-route choice

Access to Document

10.1016/j.procs.2016.04.185Licence: CC BY-ND

Propagating agents with macroscopic dynamic network loading: challenges and possible solutionsFinal published version, 233 KBLicence: CC BY-ND

Cite this

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title = "Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions",

abstract = "While agent-based modelling of traffic demand is gaining attention, a macroscopic dynamic network loading model may be beneficial, particularly in large-scale applications. We investigate the implications of coupling such models, with inclusion of en-route choices, for the modelling of links and the determination of turning fractions, yielding useful recommendations to help select an appropriate solution scheme of the macroscopic traffic flow theory and overcome other practical challenges specifically associated with the coupling of agent-based traffic demand and macroscopic traffic propagation.",

keywords = "agent-based modelling, dynamic network loading, macroscopic traffic model, en-route choice",

author = "\{van der Gun\}, Jeroen and Adam Pel and \{van Arem\}, Bart",

year = "2016",

month = may,

day = "13",

doi = "10.1016/j.procs.2016.04.185",

language = "English",

volume = "83",

pages = "914--920",

booktitle = "Procedia Computer Science1877-0509",

note = "5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS) ; Conference date: 23-05-2016 Through 26-05-2016",

}

van der Gun, J, Pel, A & van Arem, B 2016, Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions. in Procedia Computer Science1877-0509. vol. 83, pp. 914-920, 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS), Madrid, Spain, 23/05/16. https://doi.org/10.1016/j.procs.2016.04.185

TY - GEN

T1 - Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions

AU - van der Gun, Jeroen

AU - Pel, Adam

AU - van Arem, Bart

PY - 2016/5/13

Y1 - 2016/5/13

N2 - While agent-based modelling of traffic demand is gaining attention, a macroscopic dynamic network loading model may be beneficial, particularly in large-scale applications. We investigate the implications of coupling such models, with inclusion of en-route choices, for the modelling of links and the determination of turning fractions, yielding useful recommendations to help select an appropriate solution scheme of the macroscopic traffic flow theory and overcome other practical challenges specifically associated with the coupling of agent-based traffic demand and macroscopic traffic propagation.

AB - While agent-based modelling of traffic demand is gaining attention, a macroscopic dynamic network loading model may be beneficial, particularly in large-scale applications. We investigate the implications of coupling such models, with inclusion of en-route choices, for the modelling of links and the determination of turning fractions, yielding useful recommendations to help select an appropriate solution scheme of the macroscopic traffic flow theory and overcome other practical challenges specifically associated with the coupling of agent-based traffic demand and macroscopic traffic propagation.

KW - agent-based modelling

KW - dynamic network loading

KW - macroscopic traffic model

KW - en-route choice

UR - http://resolver.tudelft.nl/uuid:3a070daf-6da8-49fd-b5b0-1b71aed16235

UR - https://www.scopus.com/pages/publications/84971225604

U2 - 10.1016/j.procs.2016.04.185

DO - 10.1016/j.procs.2016.04.185

M3 - Conference contribution

VL - 83

SP - 914

EP - 920

BT - Procedia Computer Science1877-0509

T2 - 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS)

Y2 - 23 May 2016 through 26 May 2016

ER -

Propagating Agents with Macroscopic Dynamic Network Loading: Challenges and Possible Solutions

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Keywords

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Multimodal Transportation Simulation for Emergencies using the Link Transmission Model

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