In bimodal ridesharing, a private on-demand mobility service operator offers to drop off a passenger at a transit
station, where the passenger uses the transit network to get to another transit station, and the service operator
guarantees picking up the passenger to drop them off at the final destination. Such collaborations with public
transport agencies present a huge potential to increase the ridership. However, most existing studies on dynamic
dial-a-ride/ridesharing mainly focus on mono-modal cases only. We consider dynamic bimodal ridesharing
problems where real-time information is available to anticipate future demand. A new non-myopic vehicle
dispatching and routing policy based on queueing-theoretical approach is proposed and integrated with a nonmyopic
idle vehicle repositioning strategy to solve the problem. Several experiments are conducted to test the
effectiveness of this integrated solution method and measure the benefit of bimodal cooperation. The proposed
model and solution algorithm provides useful tools for real-time operating policy design of shared mobility

Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.5281/zenodo.2155708 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
http://dx.doi.org/10.5281/zenodo.2155709 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

DOIS: 10.5281/zenodo.2155708 10.5281/zenodo.2155709

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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.5281/zenodo.2155708
Licence: Other

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