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Research on Intersection Frequent Overflow Control Strategy Based on Wide-Area Radar Data

机译:基于广域雷达数据的交叉频繁溢流控制策略研究

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Overflow identification and control at urban road intersection is a derivative problem of oversaturation control. The existing cross-section detector uses the road cross-section occupation of vehicles to identify the overflow state; then, the downstream road condition is often ignored. At present, more and more advanced traffic detection technologies, such as vehicle-to-infrastructure and wide-area radar, can provide reliable data for accurate overflow identification. In this paper, a new method of overflow identification and control at intersections is proposed by using advanced wide-area radar detection data. As a detector for specific segment of road, the wide-area radar can detect the traffic flow data in a certain range of road and provide more data types. Therefore, the average speed and space occupancy of the effective detection road segment are selected as subindicators to establish the comprehensive identification index of overflow identification. Then, the overflow control strategy is developed considering the traffic demand of the overflow phase and the nonoverflow phase. It is proved that the method is more accurate and effective in overflow identification and control by using simulation experiment of field data.
机译:城市道路交叉路口溢出识别和控制是过度控制的衍生问题。现有的横截面探测器使用道路横截面占用车辆来识别溢出状态;然后,往往忽略下游道路状况。目前,越来越高的高级交通检测技术,如车辆到基础设施和广域雷达,可以提供可靠的数据,以便精确溢出识别。在本文中,通过使用先进的广域雷达检测数据提出了一种在交叉路口的溢出识别和控制的新方法。作为特定路段的探测器,广域雷达可以检测一定范围的道路中的交通流量数据,并提供更多数据类型。因此,选择有效检测道路段的平均速度和空间占用率被选择为子管道,以建立溢出识别的综合识别指标。然后,考虑到溢出阶段的业务需求和非组流阶段的交通需求开发了溢流控制策略。事实证明,通过使用现场数据的仿真实验,该方法在溢出识别和控制方面更准确,有效。

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