AI-Driven Solutions for Crowd Management in Tourism: Navigating the Swarm

Abstract

The exponential growth of tourism worldwide has led to significant challenges in managing crowds efficiently and sustainably. In recent years, the integration of artificial intelligence (AI) has emerged as a promising avenue for addressing these challenges. This chapter provides a comprehensive overview of AI-driven solutions tailored specifically for crowd management in tourism settings. The first section elucidates the dynamics of tourism-related crowds, highlighting the complexities arising from diverse factors such as seasonality, events, and cultural significance. Understanding these intricacies is crucial for devising effective management strategies. The subsequent section delves into the role of AI in crowd management, exploring various AI techniques such as machine learning, computer vision, and natural language processing. These technologies enable real-time data analysis, predictive modeling, and decision support systems, empowering stakeholders to anticipate crowd behaviors and mitigate potential disruptions