论文部分内容阅读
步行者群集仿真模拟是研究步行者行为和步行空间关系的有效方法。本文提出了基于心理压力的步行者行为模型,并且通过实际步行者移动行为的观测数据对模型中的未知参量进行了推定。应用这一模型,可以根据步行者的个人属性特征对其步行行为进行预测。为了获得地下空间中仿真模拟的初始数据,提出步行者时空间分布的推定方法。应用步行者行为模型对地下步行网络空间节点处的步行者群集进行了仿真模拟分析,并从舒适性、安全性、效率性的角度定量评价了步行空间的品质。最后,文章讨论了群集仿真模拟在地下空间人流控制和防灾设计中的应用前景。
Pedestrian cluster simulation is an effective way to study the relationship between pedestrian behavior and pedestrian space. This paper proposes a behavioral model of pedestrians based on psychological pressure and estimates the unknown parameters in the model by observing the actual behavior of pedestrians. Applying this model, the pedestrian’s walking behavior can be predicted according to the pedestrian’s personal attributes. In order to obtain the initial data of simulation in underground space, a method of estimating the space-time distribution of pedestrians is proposed. By using pedestrian behavior model, the pedestrian cluster at underground nodes in space network is simulated and analyzed, and the quality of pedestrian space is quantitatively evaluated from the aspects of comfort, safety and efficiency. Finally, the article discusses the application of cluster simulation in underground flow control and disaster prevention design.