A Coverage Control-Based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems

Creative Commons License

Zhu P., SIRMATEL I. İ., Ferrari-Trecate G., Geroliminis N.

IEEE Transactions on Control Systems Technology, cilt.32, sa.5, ss.1839-1853, 2024 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 32 Sayı: 5
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1109/tcst.2024.3375765
  • Dergi Adı: IEEE Transactions on Control Systems Technology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1839-1853
  • Anahtar Kelimeler: Autonomous mobility-on-demand (AMoD) systems, cooperative control, coverage control, distributed control, vehicle rebalancing
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Trakya Üniversitesi Adresli: Evet

Özet

As an emerging mode of urban transportation, autonomous mobility-on-demand (AMoD) systems show the potential in improving mobility in cities through timely and door-to-door services. However, the spatiotemporal imbalances between mobility demand and supply may lead to inefficiencies and a low quality of service. Vehicle rebalancing (i.e., dispatching idle vehicles to high-demand areas) is a potential solution for efficient AMoD fleet management. In this article, we formulate the vehicle rebalancing problem as a coverage control problem for the deployment of a fleet of mobile agents for AMoD operation in urban areas. Performance is demonstrated via microscopic simulations representing a large urban road network in Shenzhen, China. The results reveal the potential of the proposed method in improving service rates and decreasing passenger waiting times.