Abstract
This paper selects possible relocation scenarios for electric vehicle sharing systems and measures the service ratio through our analysis framework. The experiment exploits the actual trip records collected in a taxi telematics system in Jeju city area as future sharing demand. Its goals include testing the validity of the analysis framework for a sharing system design as well as discovering the behavioral characteristics in basic relocation policies to take into account when designing a new sophisticated relocation scheme. The sharing performance is measured for even, utilization-based, and morning-focused schemes based on the assumption that the relocation is carried out during the non-operation hours. The performance analysis results find out that it is useful to focus on the pick-up requests during the first few hours after the operation starts and that it is necessary to develop a prediction-based proactive relocation scheme to cope with request fluctuation in the airport area.
This research was supported by the MKE (The Ministry of Knowledge Economy), Republic of Korea, under IT/SW Creative research program supervised by the NIPA (National IT Industry Promotion Agency) (NIPA-2012-(H0502-12-1002)).
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Lee, J., Park, GL., Lee, D. (2012). Comparative Performance Analysis of Relocation Policies for Electric Vehicle Sharing Systems. In: Kim, Th., Kang, JJ., Grosky, W.I., Arslan, T., Pissinou, N. (eds) Computer Applications for Bio-technology, Multimedia, and Ubiquitous City. BSBT MulGraB IUrC 2012 2012 2012. Communications in Computer and Information Science, vol 353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35521-9_29
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DOI: https://doi.org/10.1007/978-3-642-35521-9_29
Publisher Name: Springer, Berlin, Heidelberg
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