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Online Repositioning Routes and Dynamic Price Incentives for Vehicle Redistribution in Shared Mobility Systems


J. Pfrommer

Automatic Control Laboratory, ETH Zürich, supervisors: Joe Warrington and Georg Schildbach

In recent years, public transportation based on short-term vehicle rental (Shared Mobility Systems), e.g. public bike sharing schemes (PBS) with rental stations distributed in an urban environment, have considerably gained in importance. More and more customers rely on the transportation service offered by PBS, also to commute to work. To provide the necessary service level, the scheme operators have to reposition bikes to counter unbalanced demand and flow patterns. This is one of the major cost drivers for PBS operators. In this diploma thesis, we present two methods for repositioning vehicles in a shared mobility setting: 1) A online heuristic to optimize the routes of trucks for manual repositioning of vehicles during operational hours of the system. 2) A controller based onModel Predictive Control for real-time pricing of incentives in order to influence customer behavior. This results in a “crowdsourcing” of the repositioning effort. Based on historical Data made available by Barclays Cycle Hire in London, a detailed system model is created. It serves as a tool for forecasting changes as part of the optimization methods and is the basis of aMonte-Carlo based simulation to compare the two approaches for repositioning.


Type of Publication:

(12)Diploma/Master Thesis

M. Morari

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2012:IFA_4627
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