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Information provision device for use in vehicle

  • US 9,256,989 B2
  • Filed: 03/26/2012
  • Issued: 02/09/2016
  • Est. Priority Date: 04/20/2011
  • Status: Active Grant
First Claim
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1. An information provision device for use in a vehicle comprising:

  • a processor configured to;

    acquire first traveling state data including at least one of a driving operation of a driver and a vehicle state;

    calculate a plurality of traveling state distributions including a traveling state distribution of an immediately-previous time range indicating a current traveling state and a traveling state distribution of a time range different from the immediately-previous time range on the basis of the first traveling state data;

    estimate first driving instability on the basis of a difference value between the calculated plurality of traveling state distributions;

    determine, as a learning completion determining result, that learning is completed when a predetermined learning time elapses from start of collection of the first traveling state data;

    estimate second driving instability by comparing the traveling state distribution of the immediately-previous time range, which indicates the current traveling state and which is calculated on the basis of the first traveling state data, with a comparative traveling state distribution acquired on the basis of another traveling state data different from the first traveling state data of the immediately-previous time range;

    select the first driving instability when the learning is completed and selecting the second driving instability when the learning is not completed, on the basis of the learning completion determining result; and

    control, when the first driving instability is selected, an information presenting device to provide an output that attracts more attention of the driver than attention of the driver that is attracted by an output provided when the second driving instability is selected,wherein the another traveling state data is traveling state data acquired in another time range different from the immediately-previous time range, andwherein the another time range is changed depending on a degree of learning which is a ratio of the elapsed time from the start of collection of the first traveling state data up to now to the learning time and the another time range is set to be larger with an increase in the degree of learning.

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