Research on Abnormal Behavior of Crowd in Urban Transportation Hubs
Urban transportation hubs are pivotal nodes supporting residents'travel,characterized by high passenger flow,spatial confinement,and complex intertwining of multiple modes of passenger flow,which impose significant pressure on safety organization and operation.Therefore,the controlling abnormal behaviors of pedestrian within hubs is one of the key focal points to ensure the safe operation.Currently,the identification of abnormal behaviors mainly relies on computer vision technology.Namely,one approach focuses on tracking passenger trajectories and density disparities,extracts pedestrian targets within hubs and predict the trajectories by target detection technology and determines the abnormal behaviors by analyzing individual or small group abnormal trajectory data.Another ap-proach involves extracting micro-motion data of pedestrians by pose estimation technology,identify the abnormal actions and behavioral intentions by analyzing pedestrian skeletal joint data.Thus,this review summarizes research achievements,comprehensively analyzes model-driven and data-driven research and application outcomes,eluci-dates the causal mechanisms and summarizes management measures of pedestrian abnormal behaviors.Finally,an analysis and outlook on the research of pedestrian abnormal behaviors within hubs are conducted.This review deep-ens understanding of pedestrian abnormal behaviors at transportation hubs and provides reference and support for the safe operation and maintenance.
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