Model reduction for studying a Bike Sharing System as a closed queuing network

Abstract : The users of a B2C Bike Sharing System are satisfied if they find always free bikes and free docks at the stations. Modeling such systems is challenging because they are large-scaled and characterized by their stochastic dynamic. To study the performance of a BSS, we rely on a queuing model solved by the Entropy Maximization. In this paper, we study the possibility of aggregating a number of stations in a single virtual station to reduce the complexity of the model and its resolution. Experiments are performed to qualify impacts of the model reduction on the accuracy of the obtained results.
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Submitted on : Thursday, February 15, 2018 - 9:40:32 AM
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Bacem Samet, Florent Couffin, Marc Zolghadri, Maher Barkallah, Mohamed Haddar. Model reduction for studying a Bike Sharing System as a closed queuing network. 8th Swedish Production Symposium, SPS 2018, May 2018, Paris, France. pp.0 - 0. ⟨hal-01709541⟩

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