Performance evaluation of different dispatching rules and heuristics in a fully automated parking system

Conventional parking lots struggle to meet demand, prompting the rise of Fully Automated Parking Systems (FAPS), offering eco-friendly alternatives with advanced technology. However, operational challenges persist, especially in planning and scheduling. Real-time responsiveness necessitates dispatching rules and heuristics. This study comprehensively explores FAPS operational dynamics, assessing various rule combinations' impact on customer wait times and system utilization. Utilizing a six-month MATLAB simulation, results favour the Nearest -Available -Slot (NAS) allocation rule coupled with First -Come -First -Served (FCFS) sequencing, emphasizing allocation's pivotal role in system efficiency. Future research will refine allocation strategies to further optimize FAPS operational performance.