The present disclosure provides a system and method for energy saving traffic using machine learning and artificial intelligence. Systems and methods for energy saving traffic are provided. The method may include: identifying a vehicle moving on a road; calculating first energy required for completing the travel; determining the size of a cavitation area of the vehicle; calculating a second energy required to transition to the cavitation region of the vehicle and complete the travel in the cavitation region of the vehicle; and transitioning to the cavitation zone of the vehicle if the second energy is more energy-saving than the first energy.

    本公开提供了“用于使用机器学习和人工智能的节能交通的系统和方法”。提供了用于节能交通的系统和方法。所述方法可包括:识别在道路上移动的车辆;计算完成行程所需的第一能量;确定所述车辆的气穴区的大小;计算转变到所述车辆的所述气穴区并在所述车辆的所述气穴区中完成所述行程所需的第二能量;以及如果所述第二能量比所述第一能量更节能,则转变到所述车辆的所述气穴区。


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    Titel :

    System and method for energy saving traffic using machine learning and artificial intelligence


    Weitere Titelangaben:

    用于使用机器学习和人工智能的节能交通的系统和方法


    Beteiligte:
    RAVI VINOD (Autor:in)

    Erscheinungsdatum :

    2022-09-27


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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