An improved multi-value cellular automata model for heterogeneous bicycle traffic flow

Jin, S; Qu, X; Xu, C; Ma, D; Wang, D

An improved multi-value cellular automata model for heterogeneous bicycle traffic flow

Jin, S Qu, X

Xu, C Ma, D Wang, D

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Publication Type:: Journal Article
Citation:: Physics Letters, Section A: General, Atomic and Solid State Physics, 2015, 379 (39), pp. 2409 - 2416
Issue Date:: 2015-10-16

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Field	Value	Language
dc.contributor.author	Jin, S	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.contributor.author	Xu, C	en_US
dc.contributor.author	Ma, D	en_US
dc.contributor.author	Wang, D	en_US
dc.date.issued	2015-10-16	en_US
dc.identifier.citation	Physics Letters, Section A: General, Atomic and Solid State Physics, 2015, 379 (39), pp. 2409 - 2416	en_US
dc.identifier.issn	0375-9601	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119178
dc.description.abstract	© 2015 Elsevier B.V. This letter develops an improved multi-value cellular automata model for heterogeneous bicycle traffic flow taking the higher maximum speed of electric bicycles into consideration. The update rules of both regular and electric bicycles are improved, with maximum speeds of two and three cells per second respectively. Numerical simulation results for deterministic and stochastic cases are obtained. The fundamental diagrams and multiple states effects under different model parameters are analyzed and discussed. Field observations were made to calibrate the slowdown probabilities. The results imply that the improved extended Burgers cellular automata (IEBCA) model is more consistent with the field observations than previous models and greatly enhances the realism of the bicycle traffic model.	en_US
dc.relation.ispartof	Physics Letters, Section A: General, Atomic and Solid State Physics	en_US
dc.relation.isbasedon	10.1016/j.physleta.2015.07.031	en_US
dc.subject.classification	Fluids & Plasmas	en_US
dc.title	An improved multi-value cellular automata model for heterogeneous bicycle traffic flow	en_US
dc.type	Journal Article
utslib.citation.volume	39	en_US
utslib.citation.volume	379	en_US
utslib.for	0105 Mathematical Physics	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	02 Physical Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.issue	39	en_US
pubs.publication-status	Published	en_US
pubs.volume	379	en_US

Abstract:

© 2015 Elsevier B.V. This letter develops an improved multi-value cellular automata model for heterogeneous bicycle traffic flow taking the higher maximum speed of electric bicycles into consideration. The update rules of both regular and electric bicycles are improved, with maximum speeds of two and three cells per second respectively. Numerical simulation results for deterministic and stochastic cases are obtained. The fundamental diagrams and multiple states effects under different model parameters are analyzed and discussed. Field observations were made to calibrate the slowdown probabilities. The results imply that the improved extended Burgers cellular automata (IEBCA) model is more consistent with the field observations than previous models and greatly enhances the realism of the bicycle traffic model.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/119178