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Title:
VEHICLE ACCIDENT PREDICTION SYSTEM, VEHICLE ACCIDENT PREDICTION METHOD, VEHICLE ACCIDENT PREDICTION PROGRAM, AND TRAINED MODEL GENERATION SYSTEM
Document Type and Number:
WIPO Patent Application WO/2022/025244
Kind Code:
A1
Abstract:
Provided are a vehicle accident prediction system, a vehicle accident prediction method, a vehicle accident prediction program, and a trained model generation system, comprising: acquiring a learning data set (D3) including feature value group data (D1) and accident data (D2) regarding an accident of a vehicle, the feature value group data (D1) including a first feature value (D11) representing an attribute of a driver of the vehicle, a second feature value (D12) representing a state of the vehicle, and a third feature value (D13) obtained by combining a plurality of the second feature values (D12); generating, through learning using a plurality of the learning data sets (D3) acquired, a trained model (M) for predicting an accident of a vehicle from the feature value group data (D1); inputting feature value group data (D1) subject to prediction; and predicting an accident of a vehicle from the inputted feature value group data (D1) using the generated trained model (M).

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Inventors:
UTSUGI TAKUMI (JP)
ZUSHI HIDEYUKI (JP)
SHIMATANI HAJIME (JP)
MUKAIDA YUKINOBU (JP)
TANAKA JUNJI (JP)
HAGIYA KENICHI (JP)
MATSUI YUTAKA (JP)
NAKAHATA RYOSUKE (JP)
TAKAHASHI NAOYA (JP)
KUBOTA MASAKI (JP)
Application Number:
PCT/JP2021/028315
Publication Date:
February 03, 2022
Filing Date:
July 30, 2021
Export Citation:
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Assignee:
YAZAKI CORP (JP)
MITSUI SUMITOMO INSURANCE CO LTD (JP)
International Classes:
G08G1/00
Foreign References:
JP2018120291A2018-08-02
JP2012128655A2012-07-05
JP2010152497A2010-07-08
Attorney, Agent or Firm:
TORANOMON INTELLECTUAL PROPERTY FIRM (JP)
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