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Hyper pooling private trips into high occupancy transit like attractive shared rides.

Rafał Kucharski1, Oded Cats2

  • 1Faculty of Mathematics and Computer Science, Jagiellonian University, Krakow, Poland.

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Summary

Hyper-pooled rides offer an efficient, demand-driven alternative to solo travel. This new ride-pooling strategy significantly reduces vehicle hours and emissions in urban areas.

Keywords:
Complex networksGeography

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Area of Science:

  • Transportation Science
  • Operations Research
  • Urban Planning

Background:

  • High-order ride-pooling is computationally challenging due to large solution spaces.
  • Existing ride-sharing models struggle with efficiency and scalability for complex urban demand.

Purpose of the Study:

  • Introduce "hyper-pooled rides" as a novel, efficient ride-pooling solution.
  • Develop a method to identify hyper-pooled rides within urban travel patterns.
  • Demonstrate the efficiency gains of hyper-pooled rides compared to solo travel.

Main Methods:

  • Algorithm development for identifying hyper-pooled ride opportunities.
  • Simulation of urban demand patterns to test the algorithm.
  • Analysis of vehicle hours, occupancy rates, and traveler satisfaction.

Main Results:

  • Generated 40 hyper-pooled rides for 225 travelers from 2000 trips in Amsterdam.
  • Reduced required vehicle hours sixfold, from 52.5 (solo) to 9 (hyper-pooled).
  • Achieved an average vehicle occupancy of 5.8, with a maximum of 14.

Conclusions:

  • Hyper-pooled rides present a scalable and efficient solution for urban mobility.
  • This demand-driven approach optimizes itineraries for all passengers, enhancing ride-pooling viability.
  • Significant reductions in vehicle usage demonstrate the potential for environmental and economic benefits.