ProactiveCrowd: Modelling Proactive Steering Behaviours for Agent‐Based Crowd Simulation.
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| Title: | ProactiveCrowd: Modelling Proactive Steering Behaviours for Agent‐Based Crowd Simulation. |
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| Authors: | Luo, Linbo1 lbluo@xidian.edu.cn, Chai, Cheng1 cchaixd@yahoo.com, Ma, Jianfeng1 jfma@mail.xidian.edu.cn, Zhou, Suiping2 s.zhou@mdx.ac.uk, Cai, Wentong3 ASWTCAI@ntu.edu.sg |
| Source: | Computer Graphics Forum. Feb2018, Vol. 37 Issue 1, p375-388. 14p. 2 Color Photographs, 5 Diagrams, 5 Charts, 1 Graph. |
| Subjects: | Collective behavior, Computational steering (Computer science), Simulation methods & models, Data analysis, Realism |
| Abstract: | Abstract: How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to model the process of how humans select and execute a proactive steering strategy in crowded situations and execute the corresponding behaviour accordingly. We then propose behaviour models for two inter‐related proactive steering behaviours, namely gap seeking and following. These behaviours can be frequently observed in real‐life scenarios, and they can easily affect overall crowd dynamics. We validate our work by evaluating the simulation results of our model with the real‐world data and comparing the performance of our model with that of two state‐of‐the‐art crowd models. The results show that the performance of our model is better or at least comparable to the compared models in terms of the realism at both individual and crowd levels. [ABSTRACT FROM AUTHOR] |
| Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 128187183 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ProactiveCrowd: Modelling Proactive Steering Behaviours for Agent‐Based Crowd Simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Luo%2C+Linbo%22">Luo, Linbo</searchLink><relatesTo>1</relatesTo><i> lbluo@xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chai%2C+Cheng%22">Chai, Cheng</searchLink><relatesTo>1</relatesTo><i> cchaixd@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+Jianfeng%22">Ma, Jianfeng</searchLink><relatesTo>1</relatesTo><i> jfma@mail.xidian.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Suiping%22">Zhou, Suiping</searchLink><relatesTo>2</relatesTo><i> s.zhou@mdx.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Cai%2C+Wentong%22">Cai, Wentong</searchLink><relatesTo>3</relatesTo><i> ASWTCAI@ntu.edu.sg</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computer+Graphics+Forum%22">Computer Graphics Forum</searchLink>. Feb2018, Vol. 37 Issue 1, p375-388. 14p. 2 Color Photographs, 5 Diagrams, 5 Charts, 1 Graph. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Collective+behavior%22">Collective behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+steering+%28Computer+science%29%22">Computational steering (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Realism%22">Realism</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: How to realistically model an agent's steering behaviour is a critical issue in agent‐based crowd simulation. In this work, we investigate some proactive steering strategies for agents to minimize potential collisions. To this end, a behaviour‐based modelling framework is first introduced to model the process of how humans select and execute a proactive steering strategy in crowded situations and execute the corresponding behaviour accordingly. We then propose behaviour models for two inter‐related proactive steering behaviours, namely gap seeking and following. These behaviours can be frequently observed in real‐life scenarios, and they can easily affect overall crowd dynamics. We validate our work by evaluating the simulation results of our model with the real‐world data and comparing the performance of our model with that of two state‐of‐the‐art crowd models. The results show that the performance of our model is better or at least comparable to the compared models in terms of the realism at both individual and crowd levels. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computer Graphics Forum is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cgf.13303 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 375 Subjects: – SubjectFull: Collective behavior Type: general – SubjectFull: Computational steering (Computer science) Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Realism Type: general Titles: – TitleFull: ProactiveCrowd: Modelling Proactive Steering Behaviours for Agent‐Based Crowd Simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Luo, Linbo – PersonEntity: Name: NameFull: Chai, Cheng – PersonEntity: Name: NameFull: Ma, Jianfeng – PersonEntity: Name: NameFull: Zhou, Suiping – PersonEntity: Name: NameFull: Cai, Wentong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 01677055 Numbering: – Type: volume Value: 37 – Type: issue Value: 1 Titles: – TitleFull: Computer Graphics Forum Type: main |
| ResultId | 1 |
