To thoroughly apply charging infrastructures that meet up with the charging needs of electric taxis, this paper proposes a heuristic algorithm, IKQT, to improve the deployment approach. The IKQT algorithm initiates the deployment plan using a K-means algorithm considering the taxi travel desire [39]. Based on this Original strategy, the waiting time right before charging at Every single charging station is calculated using the M/M/s queuing product.
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The enhanced K-indicates loop for clustering need points to The situation of latest centroids; this proceeds until finally the stopping prerequisite with the enhanced K-implies algorithm is satisfied. precisely the same list of desire points was input in to the enhanced K-indicates algorithm, and current charging station areas linked Along with the corresponding set of charging need points were being created. If i < n, move 2 was recurring; in any other case, the IKQT course of action was terminated.
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By evaluating the conclusions to People of prior reports, we could Establish on current expertise and perform in direction of building more practical and user-centric charging station deployment methods.
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Subsequently, this waiting around time is transformed into added weights for that K-indicates estimation, aiming to refine the deployment strategy by way of iterations. The IKQT processing methods are illustrated in Figure one. The comprehensive actions and directions with the IKQT are indicated as follows.