Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8217
Main Title: Incorporating within link dynamics in an agent-based computationally faster and scalable queue model
Author(s): Agarwal, Amit
Lämmel, Gregor
Nagel, Kai
Type: Article
Language Code: en
Abstract: The growing pace of urbanization increases the need of simulation models to handle large-scale scenarios in reasonable time. The present study proposes a fast spatial queue model, which is anchored to an agent-based travel demand simulation framework. The existing queue model is extended to produce more realistic flow dynamics by introducing backward travelling holes to mixed traffic conditions. In this approach, the space freed by a leading vehicle is not immediately available to the following vehicle. The resulting dynamics resembles Newell's simplified kinematic wave model. The space freed corresponding to each leaving vehicle is named as hole' and, as following vehicles occupy the space freed by leading vehicles, the hole travels backward. This results in triangular fundamental diagrams for traffic flow. The robustness of the model is tested with flow density and average bike passing rate contours. Spatio-temporal trajectories are presented to differentiate the queuing patterns. Finally, a comparison of the computational performance of the different link and traffic dynamics of the queue model is made.
URI: https://depositonce.tu-berlin.de//handle/11303/9128
http://dx.doi.org/10.14279/depositonce-8217
Issue Date: 2017
Date Available: 18-Feb-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): queue model
heterogeneous traffic
backward travelling holes
computational efficiency
kinematic waves
large-scale traffic simulation
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: Transportmetrica. A, Transport Science
Publisher: Taylor & Francis
Publisher Place: Abingdon [u.a.]
Volume: 14
Issue: 5-6
Publisher DOI: 10.1080/23249935.2017.1364802
Page Start: 520
Page End: 541
EISSN: 2324-9943
ISSN: 2324-9935
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

Files in This Item:
File Description SizeFormat 
agarwal_etal_2017.pdf2.17 MBAdobe PDFThumbnail
View/Open


Items in DepositOnce are protected by copyright, with all rights reserved, unless otherwise indicated.