Abstract
This paper evaluates the waiting time for a visiting schedule created by a tour-and-charging scheduler for electric vehicles in Jeju city area. As a promising vehicle network application, this service alleviates the range anxiety of electric vehicles by finding an energy-efficient tour schedule, alternately considering tour and charging. For the field test on the real-life tour spot distribution and charger availability, 3 model tour courses are selected first, each of which has the tour length of 155, 166, and 148 km, respectively, and different number of chargers on the path. The evaluation process measures and compares the tour time and thus the waiting time on 3 courses for tour schedules generated by our scheduler and legacy traveling salesman problem solver. The experiment discovers that our scheme reduces the waiting time by up to 21.1 % and eliminates the waiting time if the stay time intervals are 90, 80, and 40 minutes for each course on the current distribution of spots and chargers.
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). Evaluation of a Tour-and-Charging Scheduler for Electric Vehicle Network Services. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7971. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39637-3_9
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DOI: https://doi.org/10.1007/978-3-642-39637-3_9
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