基于空间解构的行人动力学建模、实证和管理研究

人们愈发频繁的日常出行和群体活动使得行人设施与人群组织疏散的安全、效率和舒适性问题广受关注。本项目拟从行人动力学的机理研究出发，结合Delaunay图和Voronoi图的几何特性来动态解构行人所在空间，构建行人运动网络并寻找在人群之间行走的最优路径，实现行人的宏观路径选择行为和微观速度选择行为的有机统一。同时进一步利用速度障碍物模型、深度学习模型等其它交叉领域方法与该模型优势互补，从而实现更为真实合理的行人运动。在实证研究方面，将利用行人轨迹识别与提取技术从行人实验中获取丰富的运动实证数据，研究行人的路径选择和差异选择等行为特性，并构造一种基于轨迹数据的行人模型评估框架。此外，本项目还将研究行人管控的模拟仿真和轨迹分析技术，支撑理论建模和实证研究，并构建耦合行人运动和呼吸道传染病传播的动力学模型，结合真实数据，研究公共场所的传染病防控策略，指导行人设施设计和人群组织疏散。

The increasing frequency of daily travel and group activities attracts wide attention to the safety, efficiency, and comfort issues in pedestrian facilities and crowd organizations. Starting from the study of the underlying mechanism of pedestrian dynamics, the project will propose an approach based on the geometry characteristics of the Delaunay diagram and the Voronoi diagram to deconstruct the space of pedestrian crowds. A pedestrian motion network based on the pedestrian crowd will be formulated to find the optimal path among crowds, and the macroscopic route choice behaviors and the microscopic velocity choice behaviors will be combined accordingly. On this basis, the project will also make use of the relevant characteristics of other methods such as the velocity obstacle model and deep learning method to complement the advantages of this modeling method, so as to further reproduce more realistic and reasonable pedestrian movement. In the aspect of empirical research, the pedestrian trajectory recognition and extraction technology will be used to obtain abundant empirical movement data from controlled experiments. These trajectory data can be applied to study the pedestrian route choice behaviors and differentiated behavior, and a pedestrian model evaluation framework will be formulated based on the trajectory data. In addition, this project will develop the model simulation and trajectory analysis technology to support the management application in theoretical modeling and empirical research, and a model that combined the pedestrian dynamics with the respiratory epidemic dynamics is formulated to investigate the management strategies of infectious diseases in public facilities according to real travel data. These researches can be used for the design of pedestrian facilities as well as the organization of pedestrian crowds in practice.