VEHICLE ACCIDENT PREDICTION SYSTEM, VEHICLE ACCIDENT PREDICTION METHOD, VEHICLE ACCIDENT PREDICTION PROGRAM, AND LEARNED MODEL CREATION SYSTEM

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United States of America Patent

APP PUB NO 20230177959A1
SERIAL NO

18161327

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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A vehicle accident prediction system, a vehicle accident prediction method, a vehicle accident prediction program, and a learned model creation system obtain a training data set containing feature group data, which includes a first feature representing an attribute of a driver of a vehicle, a second feature representing a state of the vehicle, and a third feature combining a plurality of second features, and accident data relating to an accident of the vehicle, create, through learning, a learned model that predicts an accident of the vehicle from the feature group data using a plurality of the obtained training data sets, input the feature group data that is to be a prediction target, and predict an accident of the vehicle from the input feature group data using the created learned model.

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Patent Owner(s)

Patent OwnerAddress
YAZAKI CORPORATIONMINATO-KU TOKYO 108
MITSUI SUMITOMO INSURANCE CO LTD27-2 SHINKAWA 2-CHOME CHUO-KU TOKYO 104-8

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hagiya, Kenichi Tokyo, JP 9 6
Kubota, Masaki Tokyo, JP 7 54
Matsui, Yutaka Tokyo, JP 49 957
Mukaida, Yukinobu Tokyo, JP 1 0
Nakahata, Ryosuke Tokyo, JP 3 10
Shimatani, Hajime Tokyo, JP 1 0
Takahashi, Naoya Tokyo, JP 78 697
Tanaka, Junji Shizuoka, JP 85 750
UTSUGI, Takumi Tokyo, JP 1 0
Zushi, Hideyuki Tokyo, JP 1 0

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