Fleet Control Algorithms for Automated Mobility: A Simulation Assessment for Zurich

The performance of four different dispatching and rebalancing algorithms for the control of an automated mobility-on-demand system is evaluated in a simulation environment. The case study conducted with an agent-based simulation scenario of the city of Zurich shows that the choice of an intelligent rebalancing algorithm decreases the average wait time in the system. For a wait time of four minutes at peak hours the best performing algorithm requires the same price per vehicle kilometer as a private car today. The results indicate that shared mobility systems of automated vehicles will reach higher occupancy rates than conventional private cars.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
• Authors:
  • Hörl, Sebastian
  • Ruch, Claudio
  • Becker, Felix
  • Frazzoli, Emilio
  • Axhausen, Kay W
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References;
• Pagination: 15p

Subject/Index Terms

• TRT Terms: Case studies; Control systems; Fleet management; Intelligent vehicles; Mobility
• Geographic Terms: Zurich (Switzerland)
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01660341
• Record Type: Publication
• Report/Paper Numbers: 18-02171
• Files: TRIS, TRB, ATRI
• Created Date: Feb 20 2018 9:27AM