Abstract
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.
Highlights
Intersections are important nodes of urban road networks. e multidimensional, complex, and time-varying characteristics of traffic demand often lead to multiple traffic states at intersections. erefore, finding suitable control strategies for different traffic states is the key to achieve effective traffic control and alleviate traffic congestion.At present, the identification and control of the oversaturated state of the key intersections in the urban road network is a key problem to be studied in the intersection control [1, 2], and the overflow caused by the queuing of the downstream intersection is needed
Due to the limitations of traditional detection techniques and types of detection data, the accuracy of traffic state recognition based on traditional traffic detection is not sufficient. e reason is that the traditional detection is mainly based on crosssectional detection and the output data are mainly statistical data
With the development of V2I technology [3,4,5] and wide-area radar technology [6, 7], the low-latency, highprecision, and traceable techniques provide new ideas for the recognition of intersection traffic conditions, especially in judging the truth or falseness of intersection overflow. These new technologies have been widely used in traffic control [8,9,10], traffic guidance [11, 12], and autonomous driving [13,14,15], no one has attempted to use them in the field of intersection overflow
Summary
Intersections are important nodes of urban road networks. e multidimensional, complex, and time-varying characteristics of traffic demand often lead to multiple traffic states at intersections. erefore, finding suitable control strategies for different traffic states is the key to achieve effective traffic control and alleviate traffic congestion. With the development of V2I technology [3,4,5] and wide-area radar technology [6, 7], the low-latency, highprecision, and traceable techniques provide new ideas for the recognition of intersection traffic conditions, especially in judging the truth or falseness of intersection overflow These new technologies have been widely used in traffic control [8,9,10], traffic guidance [11, 12], and autonomous driving [13,14,15], no one has attempted to use them in the field of intersection overflow. E issues mentioned above can be solved by finding the potential overflow trend and implementing control strategy In this way, the main content of this paper is to use widearea radar detection to identify and control intersection overflow. E main contributions of this paper include the following: An overflow detection method by using wide-area radar is installed at the departure road at intersection, which is the first time in this field.
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