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

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

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

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.
langue originaleAnglais
Pages (de - à)417-442
Nombre de pages26
journalTransportation Research, Part E: Logistics and Transportation Review
Volume128
Les DOIs
étatPublié - 1 août 2019

Contient cette citation