Home > Publications database > On the exploitation of GPS-based data for real-time visualisation of pedestrian dynamics in open environments > print

001     891062
005     20230123110536.0
024 7 _ |a 10.1080/0144929X.2021.1896781
|2 doi
024 7 _ |a 0144-929X
|2 ISSN
024 7 _ |a 1362-3001
|2 ISSN
024 7 _ |a 2128/31340
|2 Handle
024 7 _ |a altmetric:102314149
|2 altmetric
024 7 _ |a WOS:000628046700001
|2 WOS
037 _ _ |a FZJ-2021-01345
041 _ _ |a English
082 _ _ |a 150
100 1 _ |a Alia, Ahmed
|0 P:(DE-Juel1)185971
|b 0
|e First author
245 _ _ |a On the exploitation of GPS-based data for real-time visualisation of pedestrian dynamics in open environments
260 _ _ |a London
|c 2022
|b Taylor & Francis
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1655789813_23404
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Over the past few years, real-time visualisation of pedestrian dynamics has become more crucial to successfully organise and monitor open-crowded events. However, the process of collecting, efficiently handling and visualising a large volume of pedestrians' dynamic data in real time is challenging. This challenge becomes even more pronounced when pedestrians move in large-size, high-density, open and complex environments. In this article, we propose an efficient and accurate approach to acquire, process and visualise pedestrians' dynamic behaviour in real time. Our goal in this context is to produce GPS-based heat maps that assist event organisers as well as visitors in dynamically finding crowded spots using their smartphone devices. To validate our proposal, we have developed a prototype system for experimentally evaluating the quality of the proposed solution using real-world and simulation-based experimental datasets. The first phase of experiments was conducted in an open area with 37,000 square meters in Palestine. In the second phase, we have carried out a simulation for 5000 pedestrians to quantify the level of efficiency of the proposed system. We have utilised PHP scripting language to generate a larger-scale sample of randomly moving pedestrians across the same open area. A comparison with two well-known Web-based spatial data visualisation systems was conducted in the third phase. Findings indicate that the proposed approach
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef
700 1 _ |a Maree, Mohammed
|0 P:(DE-HGF)0
|b 1
|e Corresponding author
700 1 _ |a Chraibi, Mohcine
|0 P:(DE-Juel1)132077
|b 2
773 _ _ |a 10.1080/0144929X.2021.1896781
|g p. 1 - 15
|0 PERI:(DE-600)2011155-1
|n 8
|p 1709-1723
|t Behaviour & information technology
|v 41
|y 2022
|x 1362-3001
856 4 _ |u https://juser.fz-juelich.de/record/891062/files/Second_Updating__On_the_Exploitation_of_GPS_based_Data_for_Real_time_Visualization_of_Pedestrian_Dynamics_5_3_2021.pdf
|y Published on 2021-03-11. Available in OpenAccess from 2022-03-11.
909 C O |o oai:juser.fz-juelich.de:891062
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)185971
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)132077
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
913 0 _ |a DE-HGF
|b Key Technologies
|l Supercomputing & Big Data
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-500
|4 G:(DE-HGF)POF
|v Computational Science and Mathematical Methods
|x 0
914 1 _ |y 2022
915 _ _ |a Embargoed OpenAccess
|0 StatID:(DE-HGF)0530
|2 StatID
915 _ _ |a Creative Commons Attribution-NonCommercial CC BY-NC 4.0
|0 LIC:(DE-HGF)CCBYNC4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-29
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2022-11-30
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1180
|2 StatID
|b Current Contents - Social and Behavioral Sciences
|d 2022-11-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0130
|2 StatID
|b Social Sciences Citation Index
|d 2022-11-30
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BEHAV INFORM TECHNOL : 2021
|d 2022-11-30
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-30
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-30
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2022-11-30
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-7-20180321
|k IAS-7
|l Zivile Sicherheitsforschung
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IAS-7-20180321
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21