Incorporating within link dynamics in an agent-based computationally faster and scalable queue model

Agarwal, Amit and Lämmel, Gregor and Nagel, Kai (2017) Incorporating within link dynamics in an agent-based computationally faster and scalable queue model. Transportmetrica A: Transport Science, pp. 1-20. Taylor & Francis. doi: 10.1080/23249935.2017.1364802. ISSN 2324-9935.

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Official URL: http://www.tandfonline.com/doi/abs/10.1080/23249935.2017.1364802

Item URL in elib:

https://elib.dlr.de/113787/

Document Type:

Article

Title:

Incorporating within link dynamics in an agent-based computationally faster and scalable queue model

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Agarwal, Amit	UNSPECIFIED	https://orcid.org/0000-0002-3352-0227	UNSPECIFIED
Lämmel, Gregor	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Nagel, Kai	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

2017

Journal or Publication Title:

Transportmetrica A: Transport Science

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Yes

DOI:

10.1080/23249935.2017.1364802

Page Range:

pp. 1-20

Publisher:

Taylor & Francis

ISSN:

2324-9935

Status:

Published

Keywords:

queue model; heterogeneous traffic; backward travelling holes; computational efficiency; kinematic waves; large-scale traffic simulation;

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Transport

HGF - Program Themes:

Traffic Management (old)

DLR - Research area:

Transport

DLR - Program:

V VM - Verkehrsmanagement

DLR - Research theme (Project):

V - Vabene++ (old)

Location:

Berlin-Adlershof

Institutes and Institutions:

Institute of Transportation Systems > Verkehrssimulation und -prognose

Deposited By:

Lämmel, Gregor

Deposited On:

28 Aug 2017 15:48

Last Modified:

08 Mar 2018 18:40

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