Pedestrian dynamics in a heterogeneous bidirectional flow : Overtaking behaviour and lane formation

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorZhang, Daweien_US
dc.contributor.authorZhu, Haitaoen_US
dc.contributor.authorHostikka, Simoen_US
dc.contributor.authorQiu, Shien_US
dc.contributor.departmentDepartment of Civil Engineeringen
dc.contributor.groupauthorStructures – Structural Engineering, Mechanics and Computationen
dc.contributor.organizationHarbin Engineering Universityen_US
dc.contributor.organization703rd Research Institute of China Shipbuilding Industry Corporationen_US
dc.date.accessioned2019-05-06T09:04:29Z
dc.date.available2019-05-06T09:04:29Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2021-04-01en_US
dc.date.issued2019-07-01en_US
dc.description.abstractWe propose an optimization-based counterflow model to simultaneously investigate the pedestrian lane formation and overtaking behaviour in a heterogeneous bidirectional pedestrian flow. A comparison of pedestrian flow patterns in bidirectional flows with overtaking behaviour between the proposed model and a counterflow-based active decision model is performed with real collected data. Furthermore, the fundamental diagram of heterogeneous pedestrian counterflows with different corridor widths is compared with the experimental data. The effects of personal preferences regarding evading behaviour, going straight ahead and the right-hand traffic norm on lane formation are also studied for different corridor geometries with various pedestrian densities. The numerical results show that both overtaking behaviour in sparse bidirectional crowds and personal preference for the right-hand traffic norm in a wide corridor may reduce the specific flow of a pedestrian counterflow. Simultaneously, a strong personal preference for the right-hand traffic norm can determine lane formation in a counterflow scenario regardless of differences in corridor widths, pedestrian densities or other personal preferences. Additionally, lane formation may enhance not only the traffic efficiency of the whole counterflow but also the mobility of fast pedestrians in a heterogeneous bidirectional pedestrian flow. (C) 2019 Elsevier B.V. All rights reserved.en
dc.description.versionPeer revieweden
dc.format.extent13
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationZhang, D, Zhu, H, Hostikka, S & Qiu, S 2019, 'Pedestrian dynamics in a heterogeneous bidirectional flow : Overtaking behaviour and lane formation', Physica A: Statistical Mechanics and its Applications, vol. 525, pp. 72-84. https://doi.org/10.1016/j.physa.2019.03.032en
dc.identifier.doi10.1016/j.physa.2019.03.032en_US
dc.identifier.issn0378-4371
dc.identifier.issn1873-2119
dc.identifier.otherPURE UUID: 079edb04-5704-4118-a8b8-1e1e1d1ad99ben_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/079edb04-5704-4118-a8b8-1e1e1d1ad99ben_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/32812008/ENG_Hostikka_et_al_Pedestrian_dynamics_in_a_heterogeneous_Physica_A.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/37589
dc.identifier.urnURN:NBN:fi:aalto-201905062709
dc.language.isoenen
dc.publisherElsevier
dc.relation.ispartofseriesPhysica A: Statistical Mechanics and its Applicationsen
dc.relation.ispartofseriesVolume 525, pp. 72-84en
dc.rightsopenAccessen
dc.subject.keywordCounterflow modelen_US
dc.subject.keywordLane formationen_US
dc.subject.keywordOvertaking behaviouren_US
dc.subject.keywordRight-hand traffic normen_US
dc.subject.keywordCOUNTER-FLOWen_US
dc.subject.keywordMODELen_US
dc.subject.keywordCROWDen_US
dc.subject.keywordSIMULATIONen_US
dc.titlePedestrian dynamics in a heterogeneous bidirectional flow : Overtaking behaviour and lane formationen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionacceptedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ENG_Hostikka_et_al_Pedestrian_dynamics_in_a_heterogeneous_Physica_A.pdf
Size:
1.3 MB
Format:
Adobe Portable Document Format