Rebalancing the rebalancers: Optimally routing vehicles and drivers in mobility-on-demand systems
In this paper we study rebalancing strategies for a mobility-on-demand urban transportation system blending customer-driven vehicles with a taxi service. In our system, a customer arrives at one of many designated stations and is transported to any other designated station, either by driving themsel...
Main Authors: | Smith, Stephen L., Pavone, Marco, Schwager, Mac, Frazzoli, Emilio, Rus, Daniela L. |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
American Automatic Control Council
2013
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Online Access: | http://hdl.handle.net/1721.1/81786 https://orcid.org/0000-0001-5473-3566 https://orcid.org/0000-0002-0505-1400 |
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