Proceedings of the 17th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2022F87

Citation: Proceedings of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 30, pages 763–767 (2022)

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Abstract. This study is devoted to the process optimization of commercial sharing of e-vehicles. The model describes a system with one-way trips and relocations of e-vehicles between sectors by service personnel according to a dynamically compiled list of service trips. The model includes an algorithm that uses model parameter values to increase expected income, depending on the dynamically selected e-vehicle transfer. The implementation of the MIP (Mixed-Integer Programming) type algorithm proposed in the study pays particular attention to its performance, as optimization should be performed dynamically with a few hours' interval. The developed model has been validated for its practical application in Riga, Latvia.

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