Abstract
This paper designs a performance analysis framework for electric vehicle taxis, aiming at promoting their wide deployment. Consisting of an event tracker, a stream handler, object interfaces, and strategy integrator, the analysis procedure can measure the performance of a dispatch and relocation strategy in terms of dispatch latency, customer waiting time, and the number of daily fast charging operations. Each pick-up and drop-off record from the actual call taxi system is associated with the corresponding taxi and charger object. It can host a new dispatch strategy to test and revise, while a specific road network and a future demand prediction model can be incorporated for better accuracy. This framework finds out that most battery charging can be done using slow chargers through the out-of-service intervals under the control of an intelligent coordinator for the fleet of member taxis, avoiding the significant increase in power load brought by fast charging operations.
This research was financially supported by the Ministry of Trade, Industry and Energy (MOTIE), Korea Institute for Advancement of Technology (KIAT) through the Inter-ER Cooperation Projects.
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Lee, J., Park, C.J., Park, GL. (2014). Design of a Performance Analyzer for Electric Vehicle Taxi Systems. In: Nguyen, N.T., Attachoo, B., Trawiński, B., Somboonviwat, K. (eds) Intelligent Information and Database Systems. ACIIDS 2014. Lecture Notes in Computer Science(), vol 8398. Springer, Cham. https://doi.org/10.1007/978-3-319-05458-2_25
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DOI: https://doi.org/10.1007/978-3-319-05458-2_25
Publisher Name: Springer, Cham
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