The invention relates to the technical field of geographic information systems, and discloses an emergency vehicle path dynamic optimization method based on an intelligent agent. In emergency scenes such as natural disasters and environmental emergencies, road traffic environment conditions and vehicle conditions change dynamically, and collaborative decision making is needed to optimize vehicle scheduling. According to the method, dynamic optimization of a real-time path of an emergency vehicle is simulated by applying a multi-agent technology, objects in an emergency scene are abstracted into a common vehicle agent model VO, an emergency vehicle agent model VE and a road section agent model R, and each agent is an interactive geographic entity in the complex emergency scene. Wherein the vehicle intelligent agent forms a transfer function and a rule based on a Dijkstra algorithm, and a multi-intelligent-agent system for real-time dynamic optimization of an emergency vehicle path is constructed through interaction among various intelligent agents, so that dynamic optimization of emergency vehicle scheduling is realized, and a foundation is laid for scientific decision making.

    本发明涉及地理信息系统技术领域,本发明公开了一种基于智能体的应急车辆路径动态优化方法。在自然灾害、环境应急等应急场景中,道路交通环境条件和车辆状况都在动态变化,需要协同决策以优化车辆调度。该方法运用多智能体技术模拟应急车辆实时路径的动态优化,将应急场景中的对象抽象成普通车辆智能体模型VO、应急车辆智能体模型VE及路段智能体模型R,且各个智能体在复杂应急场景中是可交互的地理实体。其中车辆智能体基于Dijkstra算法构成转移函数及规则,通过各类智能体之间的交互构建应急车辆路径实时动态优化的多智能体系统,实现应急车辆调度动态优化,为科学决策奠定基础。


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    Titel :

    Emergency vehicle path dynamic optimization method based on intelligent agent


    Weitere Titelangaben:

    一种基于智能体的应急车辆路径动态优化方法


    Beteiligte:
    LIN GUANGFA (Autor:in) / WU ZAIDONG (Autor:in) / ZHANG MINGFENG (Autor:in) / LUO ZUNHUA (Autor:in) / ZHOU WENJUAN (Autor:in)

    Erscheinungsdatum :

    2022-04-22


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

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



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