Dudakli, NurhanBaykasoglu, Adil2025-03-202025-03-2020240868-49521822-8844https://doi.org/10.15388/24-INFOR544https://hdl.handle.net/20.500.14034/2271Conventional 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.eninfo:eu-repo/semantics/openAccessfully automated parking systemsoperational planning and control problemsdispatching rulessimulationPerformance Evaluation of Different Dispatching Rules and Heuristics in a Fully Automated Parking SystemArticle10.15388/24-INFOR54435199129Q1WOS:0012230364000052-s2.0-85188151288Q1