文物遗址行人流量智能管理仿真研究

V. Bolshakov, Galina Merkuryeva
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引用次数: 2

摘要

本文提出了一种通过移动应用程序更好地管理行人流量的智能方法和一个模拟模型来评估这种方法。这个提议的概念应该被用于那些被游客超载的遗产地,这些遗产地在步行距离内有许多潜在的景点。所提出的方法假设使用特定景点的许多游客的数据来建议应用程序用户下一步访问的最佳景点。为了评估所提出的思想,建立了一个基于智能体的仿真模型。该模型可以评估在大量游客中引入此类应用程序如何减少经常超载的景点排队等候时间。详细描述了仿真模型的结构和模型中agent的行为。通过仿真实验确定了该概念的正反两面,并对其进行了讨论。
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Simulation in Intelligent Management of Pedestrian Flows at Heritage Sites
The paper presents both an intelligent approach to better management of pedestrian flows by means of a mobile application and a simulation model to asses this approach. The proposed concept is supposed to be used at heritage sites, which are overloaded by tourists, and which have a number of potential attractions within a walking distance. The proposed approach assumes to use data of a number of visitors at particular attractions to suggest application users the best attractions to visit next. To evaluate the proposed idea, an agent-based simulation model is developed. The model allows evaluating how introduction of such application among a number of visitors allows reducing waiting times in queues to frequently overloaded attractions. The structure of the simulation model and behaviour of agents in the model are described in details. The positive and negative sides of the proposed concept are determined through simulation experiments and discussed.
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