To provide a system.SOLUTION: A disclosed system and a method are relevant to a system and a method for collaborative lane assignment using reinforcement learning. According to an embodiment, a segment manager communicating with multiple connected vehicles within a segment of a road receives target lateral flows on two or more lanes of a road within a segment of the road from a regional manager. The segment manager receives pieces of traffic condition information from multiple connected vehicles. The segment manager processes a series of traffic condition information and target lateral flow using reinforcement learning-based models and determines lane change actions relevant to multiple connected vehicles. Here, the reinforcement learning base model is based on a single neural network that shares parameters for multiple connected vehicles relevant to multiple connected vehicles. The lane change action is transmitted to multiple connected vehicles from the segment manager.SELECTED DRAWING: Figure 1

    【課題】システムの提供。【解決手段】本明細書で説明するシステム及び方法は、強化学習を使用した協調型車線割り当てに関する。一実施形態では、道路の区間内で複数のコネクテッド車両と通信している区間マネージャのところで、地域マネージャから、道路の区間内における道路の2つ以上の車線に関する標的横方向流を、受領し、区間マネージャのところで、複数のコネクテッド車両から、交通状態情報を受領し、区間マネージャのところで、強化学習ベースのモデルを使用して、交通状態情報及び標的横方向流を処理することにより、複数のコネクテッド車両に関する車線変更アクションを決定し、ここで、強化学習ベースモデルを、複数のコネクテッド車両に関してパラメータを共有した単一のニューラルネットワークに基づくものとし、車線変更アクションを、区間マネージャから、複数のコネクテッド車両に対して、送出する。【選択図】図1


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    Title :

    SYSTEMS AND METHODS FOR COLLABORATIVE LANE ASSIGNMENT USING REINFORCEMENT LEARNING


    Additional title:

    強化学習を使用した協調型車線割り当てのためのシステム及び方法


    Contributors:

    Publication date :

    2023-05-08


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Japanese


    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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