A reworked Cellular Automata (CA) model is introduced to replicate an evacuation scenario in a classroom, considering both the presence and absence of obstacles. This study leverages CA integrated with fuzzy logic for decision-making to simulate exit-selection behaviour during the evacuation process, showcasing intelligent decision-making patterns. The findings reveal a strong alignment between experimental and simulated results, demonstrating their reliability. The simulations indicate that individuals prefer the nearest exit if crowd density is low; however, when the density is high, they opt for alternate exits to reduce waiting time. This highlights that occupant may not efficiently utilize multiple exits during emergencies. Enhancing this model could significantly contribute to future research and improved building safety designs