A multi-layer social force approach to model interactions in shared spaces using collision prediction

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dc.identifier.uri http://dx.doi.org/10.15488/1689
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1714
dc.contributor.author Rinke, N.
dc.contributor.author Schiermeyer, C.
dc.contributor.author Pascucci, F.
dc.contributor.author Berkhahn, V.
dc.contributor.author Friedrich, B.
dc.date.accessioned 2017-07-17T07:35:01Z
dc.date.available 2017-07-17T07:35:01Z
dc.date.issued 2017
dc.identifier.citation Rinke, N.; Schiermeyer, C.; Pascucci, F.; Berkhahn, V.; Friedrich, B.: A multi-layer social force approach to model interactions in shared spaces using collision prediction. In: Transportation Research Procedia 25 (2017), S. 1249-1267. DOI: https://doi.org/10.1016/j.trpro.2017.05.144
dc.description.abstract In shared space environments the movements of road users is not regulated by traffic rules, but is the result of spontaneous interaction between traffic users, who negotiate the priority according to social rules such as eye contact or courtesy behavior. However, appropriate micro simulation tools, which can reproduce the operation of shared spaces, are currently lacking. In this paper, a multi-layer approach for representing the movement of road users and their interaction, based on the Social Force Model, is developed. In a free-flow layer a realistic path is calculated for each user towards his destination, while a conflict layer is used for detecting possible conflict situations and computing an appropriate reaction. The novelty of this work in the field of shared space modeling is in the implementation of group dynamics and a SFM based approach for cyclists. The presented approach is qualitatively tested in different traffic situations involving cyclists, pedestrians and pedestrian groups, and shows realistic behavior. © 2017 The Authors. Published by Elsevier B.V. eng
dc.description.sponsorship DFG/BE 2159/13-1
dc.description.sponsorship DFG/FR 1670/13-1
dc.language.iso eng
dc.publisher Amsterdam : Elsevier BV
dc.relation.ispartofseries Transportation Research Procedia 25 (2017)
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject microscopic simulation eng
dc.subject mixed traffic eng
dc.subject Shared space eng
dc.subject social force model eng
dc.subject traffic conflict eng
dc.subject.ddc 380 | Handel, Kommunikation, Verkehr ger
dc.title A multi-layer social force approach to model interactions in shared spaces using collision prediction eng
dc.type Article
dc.type Text
dc.relation.issn 2352-1457
dc.relation.doi https://doi.org/10.1016/j.trpro.2017.05.144
dc.bibliographicCitation.volume 25
dc.bibliographicCitation.firstPage 1249
dc.bibliographicCitation.lastPage 1267
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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