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SPECIFIC FEATURES OF METHODS AND ALGORITHMS FOR PLANNING UNMANNED VEHICLES' ROUTES IN DYNAMICALLY CHANGING ROAD SCENE

机译:动态变化道路场景中无人车辆路线规划方法和算法的特殊特征

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In this work the authors tackle the question of unmanned navigation and calculate the route in the traffic flow. With the growth of vehicle autonomy this issue becomes systemic and requires upgrading of the existing models, methods and algorithms since some of the decisions normally made by a person (driver) are now transferred to the on-board unit of movement modeling and decision-making unit. This work presents methods for calculating the foute of an unmanned vehicle route based on the information about various levels of the transport system. The 1st level describes the generalized characteristics of the global route based on the chosen set of criteria; 2nd level describes the position and movement dynamics for the multitude of the traffic participants in the vicinity; level 3 shows the calculated trajectory for the vehicle maneuvering in the traffic flow. The suggested methods were developed with the use of multi-agent multi-level simulation model of the transport system proposed by the authors earlier, which allows for route calculation based on a variety of criteria..
机译:在这项工作中,作者解决了无人驾驶问题并计算了交通流中的路线。随着车辆自主性的增长,这个问题变得系统化,需要升级现有的模型,方法和算法,因为通常由人(驾驶员)做出的一些决策现在已转移到机车上的运动建模和决策部门。单元。这项工作提出了基于有关运输系统各个层面的信息来计算无人驾驶车辆路线的路线的方法。第一层级根据所选标准集描述了全球路线的一般特征;第二层描述了附近交通参与者的位置和运动动态;级别3显示了在交通流中操纵车辆的计算轨迹。建议的方法是使用作者先前提出的运输系统的多代理多级仿真模型开发的,该模型可以根据各种标准进行路线计算。

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