基于集体人工智能的综合人群管理支持系统
Essentials of an Integrated Crowd Management Support System Based on Collective Artificial Intelligence
摘要：
行人和人群在空间结构中的动力学行为的模拟是一个综合的研究和应用背景，仍然为不同领域和学科的研究人员提出了挑战。尽管设计者和规划者越来越多地采用目前可用的用于这种模拟的商业系统来评估替代解决方案，但这类系统通常不与现有的监控和控制基础设施集成，这些监控和控制基础设施通常由人群管理者和现场操作员出于安全原因使用。本文介绍了一个基于集体人工智能方法的综合人群管理支持系统的要点和相关的计算框架，该系统包括：（i）来自和到被监视和控制的环境的接口（分别为传感器和致动器），（ii）一套软件工具，支援分析环境中出现的行人和人群现象，以提供（iii）比实际更快的-对当前情况的合理演变进行时间模拟，以便支持推理形式，从而为人群管理者提供决策支持，潜在地直接控制环境的要素（例如，阻挡旋转门、自动扶梯），向现场的操作员传达命令，或者试图通过动态标志或可听消息来影响行人。
英文摘要：
The simulation of the dynamical behavior of pedestrians and crowds in spatial structures is a consolidated research and application context that still presents challenges for researchers in different fields and disciplines. Despite currently available commercial systems for this kind of simulation are growingly employed by designers and planners for the evaluation of alternative solutions, this class of systems is generally not integrated with existing monitoring and control infrastructures, usually employed by crowd managers and field operators for security reasons. This paper introduces the essentials and the related computational frame- work of an Integrated Crowd Management Support System based on a Collective Artificial Intelligence approach encompassing (i) interfaces from and to monitored and controlled environments (respectively, sen- sors and actuators), (ii) a set of software tools supporting the analysis of pedestrians and crowd phenomena taking place in the environment to feed a (iii) faster than real-time simulation of the plausible evolution of the current situation in order to support forms of inference provid- ing decision support to crowd managers, potentially directly controlling elements of the environment (e.g. blocking turnstiles, escalators), com- municating orders to operators on the field or trying to influence the pedestrians by means of dynamic signage or audible messages.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
