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- W2964329443 abstract "Nowadays, Electric Vehicles (EVs) have gone through a rapid development since people pay more attention to environmental conservation. However, the availability of EVs is seriously restricted by the scarcity of efficient charging infrastructures. In this paper, we propose a congestion-aware charging scheme to deploy Charging Stations (CSs). We first leverage vehicles' dwell events to define the charging demand. Concretely, we take advantage of M/M/x/N queueing model to calculate the probability of a vehicle being rejected by a CS. We further formulate a charging rejection probability minimization problem based on assessable information of CSs. We have proposed heuristic algorithms to determine the optimal deployment strategy. Finally, we perform extensive experiments using a real taxi trajectory dataset. Results demonstrate that our proposed algorithms are effective in minimizing vehicles' charging rejection probability compared with baselines." @default.
- W2964329443 created "2019-07-30" @default.
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- W2964329443 date "2019-05-17" @default.
- W2964329443 modified "2023-09-27" @default.
- W2964329443 title "Congestion-aware deployment of electric vehicle charging stations" @default.
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- W2964329443 doi "https://doi.org/10.1145/3321408.3321605" @default.
- W2964329443 hasPublicationYear "2019" @default.
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