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- W2808855748 abstract "The collective behavior of human crowds often exhibits surprisingly regular patterns of movement. These patterns stem from social interactions between pedestrians such as when individuals imitate others, follow their neighbors, avoid collisions with other pedestrians, or push each other. While some of these patterns are beneficial and promote efficient collective motion, others can seriously disrupt the flow, ultimately leading to deadly crowd disasters. Understanding the dynamics of crowd movements can help urban planners manage crowd safety in dense urban areas and develop an understanding of dynamic social systems. However, the study of crowd behavior has been hindered by technical and methodological challenges. Laboratory experiments involving large crowds can be difficult to organize, and quantitative field data collected from surveillance cameras are difficult to evaluate. Nevertheless, crowd research has undergone important developments in the past few years that have led to numerous research opportunities. For example, the development of crowd monitoring based on the virtual signals emitted by pedestrians’ smartphones has changed the way researchers collect and analyze live field data. In addition, the use of virtual reality, and multi-user platforms in particular, have paved the way for new types of experiments. In this review, we describe these methodological developments in detail and discuss how these novel technologies can be used to deepen our understanding of crowd behavior." @default.
- W2808855748 created "2018-06-29" @default.
- W2808855748 creator A5056293017 @default.
- W2808855748 creator A5061695825 @default.
- W2808855748 creator A5069589954 @default.
- W2808855748 creator A5087990460 @default.
- W2808855748 date "2018-07-13" @default.
- W2808855748 modified "2023-10-17" @default.
- W2808855748 title "Virtual Sensing and Virtual Reality: How New Technologies Can Boost Research on Crowd Dynamics" @default.
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