EURO 2024 Copenhagen
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552. Density estimation for a moving crowd without a physical boundary

Invited abstract in session MC-56: Traffic flow modeling , stream Transportation.

Monday, 12:30-14:00
Room: S04 (building: 101)

Authors (first author is the speaker)

1. Pratik Mullick
Operations Research and Business Intelligence, Wroclaw University of Science and Technology

Abstract

The collective motion of social agents arising from their interactions has been the subject of intense scientific research. Understanding the collective dynamics of human crowds is crucial for improving pedestrian traffic flow, ensuring crowd safety, effective urban planning, and preventing crowd disasters. From the perspective of crowd management, it is crucial to understand the relationship between crowd density and velocity, known as the fundamental diagram (FD). This relationship helps to study the capacity of spaces where traffic moves, such as roads for vehicles and sidewalks for pedestrians. Constructing a realistic FD requires the utilization of an effective method for density estimation. While existing literature offers several methods, determining the 'best' method remains unresolved and may depend on the crowd situation. Most research has focused on situations where the moving crowd is constrained within a physical boundary, such as a corridor or sidewalk. However, there is no well-defined method of density estimation for groups in an unbounded space. I wish to present our recently developed voronoi-cell-based density estimation method that can estimate crowd density in a wide variety of situations, irrespective of the presence of spatial constraints. Our proposed method of pedestrian density estimation could facilitate the construction of FDs from the point of view of individual pedestrians, along their trajectories.

Keywords

Status: accepted

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