PROBLEM TO BE SOLVED: To accurately predict traffic conditions by a short processing. ;SOLUTION: Latest data to be used for prediction are gathered and the gathered data are added to the head of time sequential data 201. Then, a latest time sequential pattern set 220 is prepared and a time sequential pattern table 230 is updated. Then, a latest time sequential data key 210 is prepared by using the time sequential data 201. From the time sequential pattern table 230, a most frequently appearing prediction value is retrieved. The prediction value is decided as the prediction value of the traffic conditions.;COPYRIGHT: (C)2000,JPO
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