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    VEHICLE CONTROL SYSTEM, VEHICLE CONTROL METHOD, AND PROGRAM RECORDING MEDIUM
    1.
    发明申请
    VEHICLE CONTROL SYSTEM, VEHICLE CONTROL METHOD, AND PROGRAM RECORDING MEDIUM 审中-公开

    公开(公告)号：US20200317220A1

    公开(公告)日：2020-10-08

    申请号：US16305441

    申请日：2017-06-05

    Applicant: NEC Corporation

    Inventor： Yoshio KAMEDA ,  Riki ETO ,  Wemer WEE ,  Yusuke KIKUCHI

    IPC: B60W60/00 ,  B60W40/105 ,  B60W40/107 ,  G06K9/62

    Abstract: A vehicle control system for controlling driving of a vehicle reflecting an environment and a characteristic of a user, while suppressing increase in learning time, is provided. The vehicle control system includes classification means for classifying, by using one or more attributes selected from accumulation means for accumulating data including attributes relating to driving of a vehicle, driving properties included in the data, learning means for learning a model representing the driving property, for each of types that are a result of classification by the classification means, and control information determination means for determining, by using the model learned for the type associated with a value of the attribute at time of driving of a control target vehicle, control information for the driving.

    OPTIMIZATION DEVICE, OPTIMIZATION METHOD, AND RECORDING MEDIUM
    3.
    发明申请
    OPTIMIZATION DEVICE, OPTIMIZATION METHOD, AND RECORDING MEDIUM 有权

    公开(公告)号：US20220400312A1

    公开(公告)日：2022-12-15

    申请号：US17776706

    申请日：2019-11-18

    Applicant: NEC Corporation

    Inventor： Yasuhisa SUZUKI ,  Wemer WEE

    IPC: H04N21/458 ,  H04N21/466

    Abstract: An input of a constraint parameter associated with a constraint required when optimizing a target is received. An objective function to be utilized for the optimization of the target is computed by using optimized results by an expert who has performed the optimization in the past, the constraint parameter, and an inverse optimization technique. The target is optimized based on the objective function.

    TOLL CONTROL SYSTEM, TOLL CONTROL APPARATUS, TOLL CONTROL METHOD, AND COMPUTER-READABLE RECORDING MEDIUM
    5.
    发明申请
    TOLL CONTROL SYSTEM, TOLL CONTROL APPARATUS, TOLL CONTROL METHOD, AND COMPUTER-READABLE RECORDING MEDIUM 有权

    公开(公告)号：US20210241543A1

    公开(公告)日：2021-08-05

    申请号：US17052372

    申请日：2018-05-07

    Applicant: NEC Corporation

    Inventor： Itaru NISHIOKA ,  Wemer WEE

    IPC: G07B15/06 ,  G07B15/02 ,  G08G1/01 ,  G08G1/052 ,  G06N20/00

    Abstract: A toll control apparatus 100 includes a traffic volume prediction unit 10 that predicts a future overall traffic volume on a first road 401 and a second road 402, a toll control unit 20 that outputs, with the predicted overall traffic volume and a predetermined road toll as inputs, a future traffic volume and a predicted traveling speed on the second road for a case where a toll on the second road is set to the predetermined road toll, and a toll optimization unit 30. The toll optimization unit 30 sets one or more road toll candidates, selects a road toll candidate for which the predicted traveling speed obtained by inputting the road toll candidate to the toll control unit 20 is greater than or equal to a threshold value, and sets the road toll candidate that maximizes the toll revenue for the second road among the selected road toll candidates.

    ENSEMBLE CONTROL SYSTEM, ENSEMBLE CONTROL METHOD, AND ENSEMBLE CONTROL PROGRAM
    8.
    发明申请
    ENSEMBLE CONTROL SYSTEM, ENSEMBLE CONTROL METHOD, AND ENSEMBLE CONTROL PROGRAM 审中-公开

    公开(公告)号：US20200249637A1

    公开(公告)日：2020-08-06

    申请号：US16639821

    申请日：2017-09-22

    Applicant: NEC Corporation

    Inventor： Wemer WEE ,  Riki ETO ,  Yoshio KAMEDA

    IPC: G05B13/02 ,  G06N20/20

    Abstract: An ensemble control system 80 combines different types of plant control. A plurality of subcontrollers 81 output actions for the plant control based on a prediction result by a predictor. A combiner or switch 82 combines or switches actions to maximize prediction or control performance as best control action based on the actions output by each subcontroller 81. Subcontrollers 81 include at least two types of subcontrollers. A first type subcontroller is an optimization-based subcontroller which optimizes an objective function that is a cost function to be minimized for calculating actions and outputs a control action. A second type subcontroller is a prediction-subcontroller which predicts based on machine learning models and outputs a predicted action.

    CONTROL OBJECTIVE INTEGRATION SYSTEM, CONTROL OBJECTIVE INTEGRATION METHOD AND CONTROL OBJECTIVE INTEGRATION PROGRAM
    9.
    发明申请
    CONTROL OBJECTIVE INTEGRATION SYSTEM, CONTROL OBJECTIVE INTEGRATION METHOD AND CONTROL OBJECTIVE INTEGRATION PROGRAM 审中-公开

    公开(公告)号：US20190196419A1

    公开(公告)日：2019-06-27

    申请号：US16307531

    申请日：2016-06-10

    Applicant: NEC Corporation

    Inventor： Wemer WEE ,  Yoshio KAMEDA ,  Riki ETO

    IPC: G05B13/02 ,  G06N20/20

    CPC classification number: G05B13/028 ,  G05B13/024 ,  G06N20/20

    Abstract: An expert model unit 81 generates predicted expert control actions based on an expert model which is a machine learning model trained using data collected when an expert operated a plant which is a control target or a plant of the same or similar characteristics. A transformer 82 constructs metrics or error measures involving the predicted expert control actions from the expert model unit 81 as an objective term. A combiner 83 collects different objective terms from the transformer 82 and a learner which outputs machine-learning models as objective terms and computes an optimal set of weights or combinations of the objective terms to construct an aggregated cost function for use in an optimizer.

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