Year: 2022
Type: preprint
Abstract: How to reproduce realistic motion in simulations has always been a fundamental problem for pedestrian dynamics, and a critical challenge for current studies is the natural correlation of the movement choices and the human behaviours. To advance the study, we deconstruct the two-dimensional space of pedestrian crowds with a behavioural motion network on basis of Voronoi diagram and Delaunay diagram, and accordingly formulate a behavioural model considering both the long-term route choice and the real-time velocity choice. The comparisons between simulation results and real-world movements suggest that the behavioural model can not only deal with traditional scenarios but also be capable of describing well-agreed movements in challenging conflicting situations. The spatial deconstruction idea provides a geometric perspective to recognize and reproduce the pedestrian behaviours, and it can further benefit the understanding and realization of pedestrian dynamics and even robot navigation.
Source: arXiv (Cornell University)
Author: Xiao, Yao
Institution: Sun Yat-sen University
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Award: 基于空间解构的行人动力学建模、实证和管理研究
OpenAlex ID: W4224979885