Track: Logistics

Abstract

Logistics needed to register and control the audience at large event venues are often complex to implement. In this study, an internet-of-things-based crowd management and seat allocation system was designed and implemented. The study is focused on implementing a crowd traffic control system within an event venue. Furthermore, it aims to establish an efficient seating arrangement to ensure that attendees are seated appropriately, utilizing a seat allocation system to prevent unauthorized occupancy of seats. This design exhibits versatile applications, including crowd management at events, conference halls, and airplane booking systems, etc. Previous literature has explored digital and software-based approaches to crowd management and seat allocation. However, this project distinguishes itself by integrating both hardware and software components, presenting a comprehensive system. The successful implementation of the study involved rigorous testing, ensuring the collaborative functionality of all subsystems. The achieved results during the prototype testing and implementation fulfilled the research design objectives. Notably, the final prototype is scalable, allowing future modifications to adapt to diverse physical venues and audiences.