考虑队列特征的交叉口机动车流多模式冲突风险识别方法
By generating vehicle trajectory strips and performing rasterization processing, combined with connected region identification and trajectory matching methods, the multi-modal conflict risk of vehicle flow at urban signalized intersections is identified. This solves the problem that queue characteristics are not considered in existing technologies, and enables intuitive display and real-time monitoring of the dynamic operation risk of vehicle flow at signalized intersections.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HEFEI GUIHUA DESIGN RES YUAN
- Filing Date
- 2023-11-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies fail to adequately consider queue characteristics when identifying traffic conflict risks in urban signalized intersections, resulting in insufficient identification of multimodal conflict risks. This is especially true at intersections with high traffic volumes, where the mutual interference between vehicles inside and outside the queue is complex, and existing methods fail to comprehensively assess the conflict risks between vehicles.
By acquiring real-time vehicle trajectories to generate trajectory strips, performing rasterization and binarization processing, using connected component recognition algorithms to identify vehicles in the queue, combining trajectory matching methods to predict the trajectories of turning vehicles, and using angle, rear-end collision, and scrape collision recognition algorithms to generate heatmaps to dynamically output the frequency and location of collisions, thereby achieving multi-mode collision risk identification.
It enables a direct visualization of the dynamic operational risks of motor vehicle flow at signalized intersections, and can more comprehensively identify the mutual interference characteristics between vehicles inside and outside the queue, providing real-time monitoring and control support for urban road traffic operation status.
Smart Images
Figure CN117576948B_ABST