A moving track data-based method for gathering behavior prediction at early stage

The early prediction and prevention of gathering events for special crowds are of great significance since the gathering behavior of individuals in special crowds may lead to illegal events or endanger public security. This paper provides an intelligent method for gathering behavior identification a...

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Published inApplied intelligence (Dordrecht, Netherlands) Vol. 51; no. 11; pp. 8498 - 8518
Main Authors Wang, Sainan, Liu, Yang, Wang, Jing, Gao, Suixiang, Yang, Wenguo
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2021
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Cellular telephones
Computer Science
Global positioning systems
GPS
Group dynamics
Machines
Manufacturing
Mechanical Engineering
Processes
Surveillance
Gathering behavior
Moving track data
Gathering place
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ISSN0924-669X
1573-7497
DOI10.1007/s10489-021-02244-2

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Summary:The early prediction and prevention of gathering events for special crowds are of great significance since the gathering behavior of individuals in special crowds may lead to illegal events or endanger public security. This paper provides an intelligent method for gathering behavior identification and gathering place predication at an early stage for special crowds based on moving track data. We firstly propose a distance-based algorithm for identifying gathering behavior and then give a fitting line-based algorithm for further finding gathering places after receiving a gathering warning. The proposed algorithms are applied to some typical cases, and the experimental results confirm the superiority, universality and efficiency of our solution method.
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ISSN:0924-669X
1573-7497
DOI:10.1007/s10489-021-02244-2