Essentials of an Integrated Crowd Management Support System Based on Collective Artificial Intelligence

TL;DR

This paper presents an integrated crowd management system leveraging collective artificial intelligence to simulate, analyze, and influence pedestrian behavior in real-time, enhancing security and operational decision-making.

Contribution

It introduces a comprehensive framework combining sensors, software tools, and AI-driven simulation for real-time crowd management and decision support.

Findings

Supports real-time crowd behavior analysis

Enables dynamic environmental control and communication

Improves decision-making efficiency in crowd management

Abstract

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.