Performance study of crowd flow in academic buildings of an institution
An institution’s academic buildings are an important meeting point for students, and the crowd flow affects its ecological parameters. Therefore, it is necessary to measure the ecological parameters and crowd flow in such a building. Tracking the density of large-scale people and environmental param...
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| Veröffentlicht in: | CCF transactions on pervasive computing and interaction (Online) 2023-12, Vol.5 (4), p.367-381 |
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| container_title | CCF transactions on pervasive computing and interaction (Online) |
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| creator | Chellaswamy, C. Rao, C. Subba Geetha, T. S. |
| description | An institution’s academic buildings are an important meeting point for students, and the crowd flow affects its ecological parameters. Therefore, it is necessary to measure the ecological parameters and crowd flow in such a building. Tracking the density of large-scale people and environmental parameters is a challenging task. In this study, a lightweight smartphone-based crowd flow measurement (SP-SP-CFM) is introduced for tracking the crowd flow in academic buildings. The proposed SP-CFM searches the requests enabled by the user’s smartphone at regular intervals. SP-CFM has been implemented, and a different test has been carried out in the academic building in real-world settings. The SP-CFM was deployed in different locations, including the evacuation passage on the first floor and two classrooms. The ecological parameters, such as temperature and CO
2
concentration, have been studied at different locations in the evacuation passage. The effect of people’s walking behaviour has been studied in four different modes of smartphone operation. The performance of the suggested SP-CFM is evaluated with different models of smartphones with variable walking speeds. The results show the proposed SP-CFM provides a tracking accuracy of 93.6% in the Wi-Fi registered mode. |
| doi_str_mv | 10.1007/s42486-023-00134-9 |
| format | Article |
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2
concentration, have been studied at different locations in the evacuation passage. The effect of people’s walking behaviour has been studied in four different modes of smartphone operation. The performance of the suggested SP-CFM is evaluated with different models of smartphones with variable walking speeds. The results show the proposed SP-CFM provides a tracking accuracy of 93.6% in the Wi-Fi registered mode.</description><identifier>ISSN: 2524-521X</identifier><identifier>EISSN: 2524-5228</identifier><identifier>DOI: 10.1007/s42486-023-00134-9</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Access control ; Buildings ; Carbon dioxide ; Carbon dioxide concentration ; Computer Science ; Data collection ; Datasets ; Evacuation ; Flow measurement ; Parameters ; Privacy ; Regular Paper ; Smartphones ; Students ; Tracking ; User behavior ; User Interfaces and Human Computer Interaction</subject><ispartof>CCF transactions on pervasive computing and interaction (Online), 2023-12, Vol.5 (4), p.367-381</ispartof><rights>China Computer Federation (CCF) 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-4e8c60e8d207080de343669279353f6ac0e898e497dad58d4e4808f31b7385d3</citedby><cites>FETCH-LOGICAL-c319t-4e8c60e8d207080de343669279353f6ac0e898e497dad58d4e4808f31b7385d3</cites><orcidid>0000-0002-2473-6042</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s42486-023-00134-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2921068893?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,21369,27905,27906,33725,41469,42538,43786,51300,64364,64368,72218</link.rule.ids></links><search><creatorcontrib>Chellaswamy, C.</creatorcontrib><creatorcontrib>Rao, C. Subba</creatorcontrib><creatorcontrib>Geetha, T. S.</creatorcontrib><title>Performance study of crowd flow in academic buildings of an institution</title><title>CCF transactions on pervasive computing and interaction (Online)</title><addtitle>CCF Trans. Pervasive Comp. Interact</addtitle><description>An institution’s academic buildings are an important meeting point for students, and the crowd flow affects its ecological parameters. Therefore, it is necessary to measure the ecological parameters and crowd flow in such a building. Tracking the density of large-scale people and environmental parameters is a challenging task. In this study, a lightweight smartphone-based crowd flow measurement (SP-SP-CFM) is introduced for tracking the crowd flow in academic buildings. The proposed SP-CFM searches the requests enabled by the user’s smartphone at regular intervals. SP-CFM has been implemented, and a different test has been carried out in the academic building in real-world settings. The SP-CFM was deployed in different locations, including the evacuation passage on the first floor and two classrooms. The ecological parameters, such as temperature and CO
2
concentration, have been studied at different locations in the evacuation passage. The effect of people’s walking behaviour has been studied in four different modes of smartphone operation. The performance of the suggested SP-CFM is evaluated with different models of smartphones with variable walking speeds. 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| ispartof | CCF transactions on pervasive computing and interaction (Online), 2023-12, Vol.5 (4), p.367-381 |
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| language | eng |
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| subjects | Access control Buildings Carbon dioxide Carbon dioxide concentration Computer Science Data collection Datasets Evacuation Flow measurement Parameters Privacy Regular Paper Smartphones Students Tracking User behavior User Interfaces and Human Computer Interaction |
| title | Performance study of crowd flow in academic buildings of an institution |
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