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Dynamic vehicle redistribution and online price incentives in shared mobility systems

Author(s):

J. Pfrommer, J. Warrington, G. Schildbach, M. Morari
Conference/Journal:

IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 4, pp. 1567-1578
Abstract:

This paper considers a combination of intelligent repositioning decisions and dynamic pricing for the improved operation of shared mobility systems. The approach is applied to Londonís Barclays Cycle Hire scheme, which the authors have simulated based on historical data. Using model-based predictive control principles, dynamically varying rewards are computed and offered to customers carrying out journeys. The aim is to encourage them to park bicycles at nearby under-used stations, thereby reducing the expected cost of repositioning them using dedicated staff. In parallel, the routes that repositioning staff should take are periodically recomputed using a model-based heuristic. It is shown that it is possible to trade off reward payouts to customers against the cost of hiring staff to reposition bicycles, in order to minimize operating costs for a given desired service level.

Year:

2014
Type of Publication:

(01)Article
Supervisor:

M. Morari

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% Autogenerated BibTeX entry
@Article { PfrEtal:2014:IFA_4431,
    author={J. Pfrommer and J. Warrington and G. Schildbach and M. Morari},
    title={{Dynamic vehicle redistribution and online price incentives
	  in shared mobility systems}},
    journal={IEEE Transactions on Intelligent Transportation Systems},
    year={2014},
    volume={15},
    number={4},
    pages={1567--1578},
    month=aug,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4431}
}
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