大型校园人群行为仿真与管控优化技术

Crowd Behavior Simulation and Control Optimization Technology for Large Campus

为提高校园人群行为管控智能化,提出一套校园人群仿真与管控优化通用框架。通过利用场景数据、社会力模型和路径导航算法对人群行为进行建模,并利用Unity开发引擎实现人行为仿真结果的可视化,辅助管理人员对校园人群行为进行预测和管控分析。以肇庆医学高等专科学校北岭新校区为例进行仿真分析,仿真结果说明,所提出的技术能够有效对大型校园的人群行为进行仿真和分析,为校园人群行为预测和管控优化提供了可行的方案。

In order to improve the intelligence of campus crowd behavior control, we proposed a general framework of campus crowd simulation and control optimization. By using scene data, social force model and path navigation algorithm to model crowd behavior, and using unity development engine to realize the visualization of simulation results, the proposed framework can assist managers to predict and control campus crowd behavior. Simulation results on the Beiling new campus of Zhaoqing Medical College show that the proposed technology can effectively simulate and analyze the crowd behavior of large campus, and provide a feasible approach for the campus crowd behavior prediction and control optimization.