Performance Evaluation of Different Dispatching Rules and Heuristics in a Fully Automated Parking System

Creative Commons License

Dudakli N., Baykasoglu A.

Informatica (Netherlands), cilt.35, sa.1, ss.99-129, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 1
  • Basım Tarihi: 2024
  • Doi Numarası: 10.15388/24-infor544
  • Dergi Adı: Informatica (Netherlands)
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Compendex, INSPEC, zbMATH
  • Sayfa Sayıları: ss.99-129
  • Anahtar Kelimeler: dispatching rules, fully automated parking systems, operational planning and control problems, simulation
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.