TRAFFIC MONITORING APPARATUS, SYSTEM, TRAFFIC MONITORING METHOD AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    公开(公告)号:WO2021152648A1

    公开(公告)日:2021-08-05

    申请号:PCT/JP2020/002699

    申请日:2020-01-27

    Abstract: A traffic monitoring apparatus includes: at least one memory (1203) storing instructions; and at least one processor (1202). The processor is configured to execute the instructions to; acquire waterfall data from a distributed acoustic sensor (DAS) (112), wherein the waterfall data includes a generation position of a vibration on a roadway adjacent to the DAS, a generation time of the vibration and an amplitude of the vibration; preprocess the waterfall data; estimate at least one enhancement of the processed waterfall data, wherein an enhancement corresponds to a traffic flow property; and estimate at least one traffic flow property of the roadway from the enhancements of the processed waterfall data.

    TRAFFIC PREDICTION APPARATUS, SYSTEM, METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    公开(公告)号:WO2021001889A1

    公开(公告)日:2021-01-07

    申请号:PCT/JP2019/026131

    申请日:2019-07-01

    Abstract: The present disclosure provides a traffic prediction apparatus, system, method and program capable of predicting the number of vehicles and the speed of vehicles in a predetermined time and in a predetermined range based on waterfall data of vehicles. The traffic prediction apparatus (11) comprises acquisition means (111) for acquiring waterfall data comprising a generation position of a vibration, a generation time of the vibration and an amplitude of the vibration generated by a vehicle traveling on a road, pre-processing means (112) for transforming the acquired waterfall data, generation means (113) for training a portion of the plurality of processed waterfall data and at least one corresponding ground truth traffic property used as plurality of labels to generate a trained model, wherein the ground truth may be obtained from a secondary acquisition means, and prediction means (114) for predicting at least one traffic property for a processed waterfall data.

    A SOURCE SEPARATION DEVICE, A METHOD FOR A SOURCE SEPARATION DEVICE, AND A NON-TRANSITORY COMPUTER READABLE MEDIUM

    公开(公告)号:WO2020084787A1

    公开(公告)日:2020-04-30

    申请号:PCT/JP2018/039997

    申请日:2018-10-26

    Abstract: A purpose of the present disclosure is to provide a source separation method, a non-transitory computer readable medium, and a source separation apparatus. The source separation apparatus (100) includes an input means (101) for inputting mixture data obtained by mixing a plurality of data; and a matrix decomposition means (102) for separating the input mixture data by estimating a mixing/unmixing matrix (1021), a basis matrix for each source (10221), an activations matrix for each source (10222) and a reliability vector for each source (10223), and a means for unmixing of input mixture data (103) using the estimated matrices from the matrix decomposition means to estimate the sources.

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