作为民航运输的重要组成部分，机场的客流量大、人员构成复杂、内部设施多样，一旦发生恐怖袭击等突发事件，将会对旅客的安全造成极大影响。如何借助科技手段对旅客人群进行高效的疏散疏导，是一个急需解决的重要问题。.本项目拟针对突发事件下民航机场旅客的安全管理和紧急疏散问题，充分考虑机场人群构成的异质特征，采用实验和理论建模相结合的方法，研究异质人群在紧急情况下的长距离奔跑、步行、匍匐前进等疏散行为特征及其运动动力学基本规律，分析行人在动态避障和寻找掩护方面的行为机制，构建紧急情况下的人群疏散模型，开发基于监控视频和卷积神经网络的人群密度自动分析和异常行为快速检测定位算法，建立机场人群管理和应急疏散辅助决策系统原型，形成人员疏散疏导方案的协同优化技术。项目成果可为深入理解突发事件下的人员疏散规律、提高民航机场人群安全管理水平提供理论依据和技术支撑，具有重要的科学研究价值和现实意义。

As important parts of the civil aviation transport industry, airports serve a high volume of passengers with different personal properties every day. Once an emergency like terrorist attack happens in an airport, it will lead to serious consequences for the safety of the passengers. Emergency evacuations for the airport passengers are among the most difficult challenges faced by every state all over the world today. .Facing with the crowd management and evacuation of passengers in airport under emergencies, the project focuses on the impact of the heterogeneity of crowd and the event itself on the pedestrian and evacuation dynamics. We will study the basic laws of pedestrian movement dynamics under long distance running, walking as well as crawling by controlled experiments and field observations. We will analyze the mechanisms of avoiding static and dynamic obstacles, as well as taking cover for pedestrians during their movements. Base on the above findings, we will extract the basic rules and equations of pedestrian movement and build pedestrian evacuation models especially for emergencies. Besides, we will develop algorithms for automatic analysis of spatial-temporal characteristics of crowd density distribution, fast detection and positioning of crowd abnormal behavior based on surveillance videos and convolutional neural network. Finally, we will build a prototype system of crowd management and emergency aid decision-making by integrating all the above modules and finally forming the collaborative optimization technique to achieve effective and applicative crowd management methods like route planning and guidance quickly. The research outcomes will provide theoretical and technical basis for understanding evacuation dynamics, decreasing stampede risk and reducing the injuries and deaths in airport under emergencies. Thus, it provides scientific support for enhancing the emergency management level for civil aviation airports.