To accurately detect an abnormal situation in traffic.SOLUTION: A traffic situation determination system includes a learning model that produces output data, which represents a traffic situation at a specific point, on the basis of input data representing the traffic situation at the specific point, and a situation determination unit that determines based on the input data and the output data whether a traffic abnormal situation has occurred. The learning model is an autoencoder including an input layer, one or more intermediate layers, and an output layer.SELECTED DRAWING: Figure 5
【課題】交通における異常状態を正確に検出する。【解決手段】交通状態判定装置は、特定の地点における交通状態を示す入力データから、前記特定の地点における交通状態を示す出力データを生成する学習モデルと、前記入力データ及び前記出力データに基づいて、交通異常状態が発生しているか否かを判定する状態判定部と、を備え、前記学習モデルは、入力層と、一又は複数の中間層と、出力層とを含むオートエンコーダである。【選択図】図5
TRAFFIC SITUATION DETERMINATION SYSTEM, TRAFFIC SITUATION DETERMINATION METHOD, COMPUTER PROGRAM, AND LEARNING MODEL
交通状態判定装置、交通状態判定方法、コンピュータプログラム、及び学習モデル
2022-01-26
Patent
Electronic Resource
Japanese
TRAFFIC SITUATION DETERMINATION DEVICE, TRAFFIC SITUATION DETERMINATION METHOD, AND COMPUTER PROGRAM
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