This paper measures the moving distance for relocation strategies in electric vehicle sharing systems. The moving distance denotes the distance a customer actually moves to pick up a vehicle and indicates the service quality for carsharing. For even, utilization-based, and morning-focused relocations schemes, the experiments are conducted using taxi trip records in Jeju City area. The measurement results show that the morning-focused scheme generally outperforms the others, relocating vehicles according to the demand just in the morning time. For a large number of vehicles, the moving distance and the serviceability is not affected by static relocation schemes, revealing the essentiality of proactive relocation. © 2013 Springer-Verlag.
CITATION STYLE
Lee, J., & Park, G. L. (2013). Moving distance simulation for electric vehicle sharing systems for Jeju City area. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7808 LNCS, pp. 838–841). https://doi.org/10.1007/978-3-642-37401-2_80
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