Travel Time Prediction Based on Data Feature 2 Selection and Data Clustering Methods 3

نویسنده

  • Chi-Hua Chen
چکیده

In recent years, governments applied intelligent transportation system (ITS) technique to 8 provide several convenience services (e.g., garbage truck app) for residents. This study proposes a 9 garbage truck fleet management system (GTFMS) and data feature selection and data clustering 10 methods for travel time prediction. A GTFMS includes mobile devices (MD), on-board units, fleet 11 management server, and data analysis server (DAS). When user uses MD to request the arrival time 12 of garbage truck, DAS can perform the procedure of data feature selection and data clustering 13 methods to analyses travel time of garbage truck. The proposed methods can cluster the records of 14 travel time and reduce variation for the improvement of travel time prediction. After predicting 15 travel time and arrival time, the predicted information can be sent to user’s MD. In experimental 16 environment, the results showed that the accuracies of previous method and proposed method are 17 16.73% and 85.97%, respectively. Therefore, the proposed data feature selection and data clustering 18 methods can be used to predict stop-to-stop travel time of garbage truck. 19

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تاریخ انتشار 2018