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Method for Determining Expected Area of Passenger Riding through Clustering Techniques for Riding Demand History Data, Managing Device Used Therein, and Medium Being Recorded with Program for Executing the Method
Method for Determining Expected Area of Passenger Riding through Clustering Techniques for Riding Demand History Data, Managing Device Used Therein, and Medium Being Recorded with Program for Executing the Method
A recording medium recorded with a program for executing a method for determining an expected passenger boarding area through a clustering technique for riding demand history data, a management device used therefor, and a method for determining an expected passenger boarding area through a clustering technique for riding demand history data is disclosed do. According to the present invention, the management device performs a vehicle call time corresponding to the current time information from a database in which ride demand history data in which ride demand information including the departure location information and vehicle call time information of the passenger who requested the vehicle call is stored is stored. A plurality of clustering areas are generated by searching for source location information having information and clustering a plurality of searched pieces of source location information, and the number of source location information included in the plurality of generated clustering areas, respectively. It is implemented through the process of calculating a weight for each cluster region based on According to the present invention, it is possible to predict passenger demand in consideration of the fluctuation characteristics of passenger demand for each day of the week, the characteristics of fluctuations on specific holidays such as holidays, the characteristics of fluctuations by time of day, and the characteristics of fluctuations according to regions.
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