A computing framework for addressing various vehicle conditions includes receiving, by an edge computing node, first transport network data associated with a transport network area from a first set of sensors, receiving, by a cloud computing node, second transport network data associated with a plurality of transport network areas from a second set of sensors, providing, by the edge computing node, real-time transport network area information based at least on the first transport network data to one or more autonomous vehicles at the transport network area to facilitate control decisions for the one or more autonomous vehicles, and providing, by the cloud computing node to at least the one or more autonomous vehicles, non-real-time transport network area information based at least on the second transport network data to facilitate control decisions for the at least one or more autonomous vehicles.

    用于解决各种运载工具状况的计算框架包括:由边缘计算节点从第一传感器集合接收与运输网络区域相关联的第一运输网络数据,由云计算节点从第二传感器集合接收与多个运输网络区域相关联的第二运输网络数据,由边缘计算节点向运输网络区域处的一个或多于一个自主运载工具提供至少基于第一运输网络数据的实时运输网络区域信息以促进该一个或多于一个自主运载工具的控制决策,以及由云计算节点向至少该一个或多于一个自主运载工具提供至少基于第二运输网络数据的非实时运输网络区域信息以促进至少该一个或多于一个自主运载工具的控制决策。


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    Title :

    Computing framework for vehicle decision and traffic management


    Additional title:

    用于运载工具决策和交通管理的计算框架


    Contributors:

    Publication date :

    2024-03-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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