Collaborative consumption is the culture of sharing instead of ownership in consumer behaviours. Transportation services such as ridesharing, carsharing, and bikesharing have recently adopted collaborative business models. Such services require real-time management of the available fleets to increase revenues and reduce costs. This thesis proposes two dynamic models for real-time management of carsharing and ridesharing services. In ridesharing, an assignment problem is solved to match drivers with passengers. The model is expanded to include multi-passenger and multi-driver matches. In carsharing, vehicles are relocated between parking stations to service the users. Results of the two models are compared to benchmark models which provide lower-bound solutions.
| Identifer | oai:union.ndltd.org:TORONTO/oai:tspace.library.utoronto.ca:1807/44050 |
| Date | 19 March 2014 |
| Creators | Nourinejad, Mehdi |
| Contributors | Roorda, Matthew |
| Source Sets | University of Toronto |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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