摘要
针对机场人群应急管控和管理智能化的需求,提出基于数字孪生的机场人群智慧管控方案。构建了包含数据层、建模层、功能层和应用层四维度的一体化人群管控系统框架,并对5个重要应用模块进行了探讨和应用效果展示。该方案通过利用数据驱动的人群仿真模型和智能优化算法,实现机场人群状态的动态预测和管控优化,能有效提升机场人群管控的效率和智能化水平,为建设智慧机场提供技术支撑。
Given the need for intelligent emergency control and management of airport crowds,a smart control scheme for airport crowds based on digital twin is proposed.The scheme constructs an integrated crowd control system framework with four dimensions,including digital layer,modeling layer,functional layer,and application layer.It discusses and demonstrates the application effect of five important application modules.By using a data-driven crowd simulation model and intelligent optimization algorithm,the proposed scheme realizes the dynamic prediction and control optimization of the airport crowd status.The scheme can effectively improve the efficiency and intelligence level of airport crowd control and provide technical support for the construction of intelligent airports.
作者
钟竞辉
林育钿
李稳强
蔡文桐
Zhong Jinghui;Lin Yutian;Li Wenqiang;Cai Wentong(School of Computer Science and Engineering,South China University of Technology,Guangzhou 510000,China;Guangdong Airport Authority,Guangzhou 510000,China;School of Computer Science and Engineering,Nanyang Technological University,Singapore 639798,Singapore)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2024年第1期27-38,共12页
Journal of System Simulation
基金
国家自然科学基金(62076098)
广东省引进创新创业团队项目(2017ZT07X183)
国际合作科研项目(G2022163008L)。
关键词
数字孪生
人群仿真
人群智慧管控
智慧机场
智能优化算法
digital twin
crowd simulation
crowd intelligent management
smart airport
intelligent optimization algorithm
