eduzhai > Applied Sciences > Engineering >

Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems

  • king
  • (0) Download
  • 20210506
  • Save

... pages left unread,continue reading

Document pages: 28 pages

Abstract: Automated vehicles (AVs) are expected to be beneficial for Mobility-on-Demand(MoD), thanks to their ability of being globally coordinated. To facilitate thesteady transition towards full autonomy, we consider the transition period ofAV deployment, whereby an MoD system operates a mixed fleet of automatedvehicles (AVs) and human-driven vehicles (HVs). In such systems, AVs arecentrally coordinated by the operator, and the HVs might strategically respondto the coordination of AVs. We devise computationally tractable strategies tocoordinate mixed fleets in MoD systems. Specifically, we model an MoD systemwith a mixed fleet using a Stackelberg framework where the MoD operator servesas the leader and human-driven vehicles serve as the followers. We develop twomodels: 1) a steady-state model to analyze the properties of the problem anddetermine the planning variables (e.g., compensations, prices, and the fleetsize of AVs), and 2) a time-varying model to design a real-time coordinationalgorithm for AVs. The proposed models are validated using a case studyinspired by real operational data of a MoD service in Singapore. Results showthat the proposed algorithms can significantly improve system performance.

Please select stars to rate!

         

0 comments Sign in to leave a comment.

    Data loading, please wait...
×