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

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.

A Trajectory Compensation Method Considering the Car-Following Behavior for Data Missing of Millimeter-Wave Radar in Roadside Detection Applications

“…The radar has been used in urban traffic and expressway management, such as traffic flow volume collection and over-speed detection. In [ 21 ], a method of overflow identification and control at intersections is proposed based on millimeter-wave radar data, which is installed at the departure road intersection to detect data. Then, a new intersection phase-timing calculation method is proposed based on the data collected by radar [ 22 ].…”

Adaptive Signal Control for Overflow Prevention at Isolated Intersections Based on Fuzzy Control

“…Ren et al ( 26 ) predicted queue spillover using speed detector data and proposed an adaptive control strategy based on the early cutting-off of green light. Zhang et al ( 27 ) developed a comprehensive overflow detection indicator based on wide-area detection radar data to optimize the signal control. Although much is known about overflow prediction and prevention at intersections, existing studies have mainly adopted the strategy of cutting off the green signal of overflow movement when the bottleneck capacity is uncertain.…”