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作 者:梅贵周 陈成 吴杰荣 MEI Guizhou;CHEN Cheng;WU Jierong(Anhui Haibo Intelligent Technology Co.,Ltd.,Wuhu 241200,China)
机构地区:[1]安徽海博智能科技有限责任公司,安徽芜湖241200
出 处:《物流技术》2022年第12期58-62,共5页Logistics Technology
摘 要:针对露天矿山无人车队在运输作业过程中的动态分布与路口交汇不确定,基于多agent构建了一种集成多种交通管理方法的路口安全通行模型。其中:获取agent负责实时获取路口通行车辆信息,预估agent基于冲突区域进行动态安全距离和危险度计算,指令agent发送是否允许通行。最后应用实例验证了系统可以同时保障无人车队的运输效率和通行安全。In this paper, in order to describe the dynamic distribution and uncertain status of the unmanned truck fleet for open-pit mines at road intersections, we established a multi-agent-based road intersection safe passage model that integrated multiple traffic management methods. Under this model, we used the acquisition agent to obtain the real-time information of fleet passing through an intersection, the estimation agent for the dynamic safety distance and risk calculation within the conflict area, and the instruction agent to signal whether passage is allowed. Finally, through an empirical case, we verified that the system could simultaneously guarantee transportation efficiency and traffic safety of the unmanned truck fleet.
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