Determining an optimal fleet size for a reliable shared automated vehicle ride-sharing service

Golan Ben-Dor, Eran Ben-Elia, Itzhak Benenson

Research output: Contribution to journalConference articlepeer-review

16 Scopus citations


Shared Automated Vehicles (SAVs) have the potential to revolutionize the urban transport landscape by reducing congestions, air pollution, and traffic accidents. However, the rejection rate for the travelers’ requests can jeopardize the potential adoption of SAVs as a new sustainable mode. We present MATSim simulations of SAVs service requests and rejections in the Tel-Aviv Metropolitan Area (TAMA) in Israel and demonstrate that fleets of 50-150K vehicles could well serve the entire intra-metropolitan travel demand, with an average occupancy of ~2 compared to 1.1 passengers per vehicle today. Minimal fleet size of 50K SAVs is sufficient for serving TAMA users’ activities but carries a high level of daily rejections 6%. An increase to 100K vehicles reduces the overall rejection rate to 1.66% with the rejection rate for trips between the TAMA core and outskirts remaining higher than 20%. A larger fleet size does not seem to improve the level of service significantly. The operational implications for optimal fleet size determination are further discussed.


  • Agent-based simulation
  • MATSim
  • Service rejections, ridesharing
  • Shared automated vehicles

ASJC Scopus subject areas

  • General Computer Science


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