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Article: Bicycle flow dynamics on wide roads: Experiments and simulation

TitleBicycle flow dynamics on wide roads: Experiments and simulation
Authors
KeywordsBicycle flow
Experiments
Fundamental diagram
Stop-and-go waves
Heuristic-based model
Issue Date2021
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc
Citation
Transportation Research Part C: Emerging Technologies, 2021, v. 125, p. article no. 103012 How to Cite?
AbstractCycling is a popular and sustainable mode of transportation. However, few studies have examined experimental and modeling studies on bicycle flow dynamics. In particular, for wide roads, the characteristics of high-density regimes in the fundamental diagram have not been well addressed, and the emergence of stop-and-go waves has not been fully understood. This study experimentally investigated bicycle flow dynamics on wide roads, using two types of 3-m-wide track. Different riding behaviors, namely, free riding, following, and overtaking, were analyzed. The bicycle flow dynamics were found to be essentially the same on the two tracks: (i) The bicycle flow rate remained nearly constant across a wide range of densities, in marked contrast to the single-file bicycle flow, which exhibited a unimodal fundamental diagram. By studying the weight density of the radial and lateral locations of cyclists, we argue that this behavior arises from the formation of more lanes with increase in global density. The newly formed lanes prevented the flow rate from decreasing. (ii) When the density exceeded 0.5 bicycles/m2, the flow rate began to decrease, and stop-and-go traffic emerged. Based on these behavioral observations, we propose an improved heuristic-based model to simulate bicycle flow on roads of different radii and explicitly account for the centrifugal effect of bicycles. The calibration and validation results demonstrate that the proposed model can reproduce the traffic dynamics of bicycle flow.
DescriptionHybrid open access
Persistent Identifierhttp://hdl.handle.net/10722/297216
ISSN
2021 Impact Factor: 9.022
2020 SCImago Journal Rankings: 3.185
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGuo, N-
dc.contributor.authorJiang, R-
dc.contributor.authorWong, SC-
dc.contributor.authorHao, QY-
dc.contributor.authorXue, SQ-
dc.contributor.authorHu, MB-
dc.date.accessioned2021-03-08T07:15:48Z-
dc.date.available2021-03-08T07:15:48Z-
dc.date.issued2021-
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2021, v. 125, p. article no. 103012-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10722/297216-
dc.descriptionHybrid open access-
dc.description.abstractCycling is a popular and sustainable mode of transportation. However, few studies have examined experimental and modeling studies on bicycle flow dynamics. In particular, for wide roads, the characteristics of high-density regimes in the fundamental diagram have not been well addressed, and the emergence of stop-and-go waves has not been fully understood. This study experimentally investigated bicycle flow dynamics on wide roads, using two types of 3-m-wide track. Different riding behaviors, namely, free riding, following, and overtaking, were analyzed. The bicycle flow dynamics were found to be essentially the same on the two tracks: (i) The bicycle flow rate remained nearly constant across a wide range of densities, in marked contrast to the single-file bicycle flow, which exhibited a unimodal fundamental diagram. By studying the weight density of the radial and lateral locations of cyclists, we argue that this behavior arises from the formation of more lanes with increase in global density. The newly formed lanes prevented the flow rate from decreasing. (ii) When the density exceeded 0.5 bicycles/m2, the flow rate began to decrease, and stop-and-go traffic emerged. Based on these behavioral observations, we propose an improved heuristic-based model to simulate bicycle flow on roads of different radii and explicitly account for the centrifugal effect of bicycles. The calibration and validation results demonstrate that the proposed model can reproduce the traffic dynamics of bicycle flow.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trc-
dc.relation.ispartofTransportation Research Part C: Emerging Technologies-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBicycle flow-
dc.subjectExperiments-
dc.subjectFundamental diagram-
dc.subjectStop-and-go waves-
dc.subjectHeuristic-based model-
dc.titleBicycle flow dynamics on wide roads: Experiments and simulation-
dc.typeArticle-
dc.identifier.emailWong, SC: hhecwsc@hku.hk-
dc.identifier.authorityWong, SC=rp00191-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.trc.2021.103012-
dc.identifier.scopuseid_2-s2.0-85100907612-
dc.identifier.hkuros321471-
dc.identifier.volume125-
dc.identifier.spagearticle no. 103012-
dc.identifier.epagearticle no. 103012-
dc.identifier.isiWOS:000636097100003-
dc.publisher.placeUnited Kingdom-

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