본 발명의 일 실시예에 따른 교통 패턴 분류 장치에 의해 수행되는 교통 패턴 분류 방법은, 분석 대상지 내의 하나의 신호 연동 구간에 포함된 적어도 하나 이상의 교차로를 주행하는 복수의 차량으로부터 교통 정보를 획득하는 단계, 상기 획득한 교통 정보를 기 학습된 인공 신경망에 입력하여 복수의 교통 패턴 클러스터를 획득하는 단계 및 상기 획득된 교통 패턴 클러스터를 소정의 기준으로 분류하는 단계를 포함할 수 있다.

    According to one embodiment of the present invention, a method for classifying a traffic pattern performed by an apparatus for classifying a traffic pattern may include: a step of acquiring traffic information from a plurality of vehicles driving on at least one crossroad included in one signal interworking section in a place to be analyzed; a step of acquiring a plurality of traffic pattern clusters by inputting the acquired traffic information to a pre-trained AI nerve network; and a step of classifying the acquired traffic pattern clusters with a predetermined standard.


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    Title :

    METHOD AND APPARATUS FOR CLASSIFYING TRAFFIC PATTERN


    Additional title:

    교통 패턴 분류 장치 및 방법


    Publication date :

    2022-11-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Korean


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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