Approach on Station ID and Trade Record Match Based on Characteristic Stations in Bus IC Data Mining
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Graphical Abstract
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Abstract
A station ID match method based on characteristic stations is developed in this approach.According to the trade time interval calculation,the k-means clustering algorithm is used to gather the trade records which occur in the same stations.The characteristic stations including maximum passenger volume station and transfer station are confirmed by analyzing the history IC data.The characteristic stations have priority in station ID match to achieve the higher accuracy.For comparison,the method based on link travel time match is used in data experiment,and the results shows the accuracy of characteristic stations achieves to 85%.
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