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A ranking-based optimization algorithm for the vehicle relocation problem in car sharing services
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AI
DOI：10.1016/j.trc.2025.105421.png)
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Abstract
En 中文
• Car sharing service area was divided into coherent zones with similar observed demand and user activity patterns. • A stochastic simulation model was developed and calibrated based on real world data originating from a major car-sharing operator in Poland. • An upper bond on optimization efficiency was established by solving the Mixed Integer Programming problem. • A fast ranking-based algorithm that makes relocation decisions based on predicted vehicle availability and demand was proposed. • Experiments revealed that depending on the size of the workforce, the application of the proposed solution allows to improve car utilization time by 3 %-10 %.
Keywords:
Car-sharing
Car sharing business model
Vehicle relocation problem
Machine learning
Journal
T
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Papers:
196
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