Abstract
This paper designs a computerized operation planner for relocation staffs in electric vehicle sharing systems, in which uneven vehicle distribution can lead to severe service quality degradation. After relocation pairs are created based on the target vehicle distribution and vehicle-to-station matching, our scheme finds an operation sequence for a relocation team. To overcome the time complexity of the ordering problem, a genetic algorithm is developed. It encodes a relocation schedule based on numbering of relocation pairs, defines a fitness function accounting for the inter-relocation move, and finally tailors genetic operators. The performance measurement result obtained from a prototype implementation shows that the proposed scheme finds an efficient schedule having a converged fitness value with just small-size population. The difference in relocation distance does not go beyond 24.8 % even in the case of extremely unbalanced distribution for the given parameters.
Prof. Gyung-Leen Park is the corresponding author. This research was financially supported by the Ministry of Knowledge Economy (MKE), Korea Institute for Advancement of Technology (KIAT) through the Inter-ER Cooperation Projects.
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Lee, J., Park, GL. (2013). Planning of Relocation Staff Operations in Electric Vehicle Sharing Systems. In: Selamat, A., Nguyen, N.T., Haron, H. (eds) Intelligent Information and Database Systems. ACIIDS 2013. Lecture Notes in Computer Science(), vol 7803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36543-0_27
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DOI: https://doi.org/10.1007/978-3-642-36543-0_27
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