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Price-based balancing of shared mobility systems

Author(s):

C. Ruch
Conference/Journal:

Semester Thesis, FS13 (10246)
Abstract:

An increasing number of customers is relying on public transport schemes based on short term vehicle rental. In order to maintain a sufficient service level, operators have to reposition vehicles to prevent stations from running empty or full. From a previous project, an existing simulation model of the London public bicycle scheme (PBS) was available. Linear model predictive control (MPC) schemes have been tried in that previous project. This thesis aimed at testing new control strategies for shared mobility systems. In a first step, controllability and limitations of the existing system were explored and simpler rule based controllers were tested and compared with the existing MPC formulations. Proportional controllers using the given concept of station utility with anticipative feed forward elements were developed that beat the performance of both model predictive control schemes. Different post processing procedures were then evaluated showing that the size of the set of neighboring stations can be small and payout for customers arriving at full stations still augments the service level. The losses in service rate were analyzed for the best available controller. Most losses in service rate are caused by empty stations and are due to commuting flow patterns in the city.

Year:

2013
Type of Publication:

(13)Semester/Bachelor Thesis
Supervisor:

J. Warrington

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2013:IFA_4511
}
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