A dynamic ridesharing dispatch and idle vehicle repositioning strategy with integrated transit transfers

Tai Yu Ma, Saeid Rasulkhani, Joseph Y.J. Chow, Sylvain Klein

Research output: Contribution to journalArticle

Abstract

We propose a ridesharing strategy with integrated transit in which a private on-demand mobility service operator may drop off a passenger directly door-to-door, commit to dropping them at a transit station or picking up from a transit station, or to both pickup and drop off at two different stations with different vehicles. We study the effectiveness of online solution algorithms for this proposed strategy. Queueing-theoretic vehicle dispatch and idle vehicle relocation algorithms are customized for the problem. Several experiments are conducted first with a synthetic instance to design and test the effectiveness of this integrated solution method, the influence of different model parameters, and measure the benefit of such cooperation. Results suggest that rideshare vehicle travel time can drop by 40–60% consistently while passenger journey times can be reduced by 50–60% when demand is high. A case study of Long Island commuters to New York City (NYC) suggests having the proposed operating strategy can substantially cut user journey times and operating costs by up to 54% and 60% each for a range of 10–30 taxis initiated per zone. This result shows that there are settings where such service is highly warranted.

Original languageEnglish (US)
Pages (from-to)417-442
Number of pages26
JournalTransportation Research Part E: Logistics and Transportation Review
Volume128
DOIs
StatePublished - Aug 2019

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Keywords

  • Idle vehicle relocation
  • Mobility-on-demand
  • Multimodal
  • Pickup and delivery
  • Ridesharing
  • Transportation system

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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