A real-time modelling of crowd dynamics for disaster prevention

防灾人群动态实时建模

• 批准号: DP160103291
• 负责人: Prof Majid Sarvi
• 金额: $ 31.05万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-05-01 至 2020-12-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160103291
• 关键词: real; time; modelling; crowd; dynamics

This project aims to develop methods and technologies to enable urban planners to design infrastructures to ensure public safety in emergency situations and to enable emergency management to optimise effective response plans. Rapid population growth creates major challenges for urban management, which has a responsibility to ensure the safety of citizens in the case of emergencies. This project aims to develop a methodology to study pedestrian crowd dynamics under panic or extreme emergency conditions, using innovative experimental approaches with new multi-scale online simulation methods and optimisation techniques. The resultant methodology would support planning and prediction of pedestrian crowd movements based on data from past events as well as adaptive planning for live events as they unfold.

该项目旨在开发方法和技术，使城市规划者能够设计基础设施，以确保紧急情况下的公共安全，并使应急管理能够优化有效的应对计划。人口的迅速增长给城市管理带来了重大挑战，因为城市管理有责任在紧急情况下确保公民的安全。该项目旨在开发一种方法来研究恐慌或极端紧急情况下的行人人群动态，采用创新的实验方法，采用新的多尺度在线模拟方法和优化技术。由此产生的方法将支持规划和预测的行人人群运动的基础上，从过去的事件以及自适应规划的现场活动，因为他们展开。