A traffic road vehicle flow cross-region regulation method, system, terminal and medium

By clustering vehicle location information and analyzing traffic flow in control areas, cross-regional control strategies are generated, solving the problem that single-intersection traffic light optimization control is difficult to adapt to different congestion scenarios, and achieving stable relief of traffic congestion and improvement of traffic efficiency in multiple areas.

CN122416727APending Publication Date: 2026-07-17YUNNAN YUNLING EXPRESSWAY TRAFFIC TECH
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Patent Information

Application Number
CN202610566486.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the optimized control of traffic lights at a single intersection is difficult to adapt to different congestion scenarios, resulting in prolonged road traffic congestion and making it difficult to effectively alleviate vehicle delay congestion problems at multiple congested intersections or road sections.

Method used

The DBSCAN algorithm is used to cluster vehicle location information within the control range to construct multiple control areas. Taking into account vehicle density, distribution range and driving direction, the intensity and parameters of traffic flow control between the central area and the edge area are determined, and cross-regional control strategies are generated, including traffic light, license plate restriction and speed limit control.

Benefits of technology

This has enabled multiple control zones to stably alleviate road traffic congestion at the same time, improved traffic efficiency, reduced the occurrence of delays and congestion, and enhanced the accuracy and efficiency of cross-regional control.

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Abstract

本发明公开了一种交通道路车流量跨区域调控方法、系统、终端及介质,涉及智能交通领域,其技术方案要点是:本发明对调控范围内各个车辆的定位信息进行聚类,可以实时获知容易发生拥堵情况的调控区域,并综合考虑调控区域的车辆密度和分布范围以及调控区域之间的车流量和行驶方向,实现多个调控区域在同一时间维度上进行车流量调控,从全局角度实现整个调控范围内道路交通拥堵问题逐步、稳定的缓解,在减少引发延迟拥堵的情况发生的情况下,有效提高了交通道路通行效率;且采用DBSCAN算法进行聚类,可以针对不同的拥堵情况聚类得到具有相匹配的车辆密度和分布范围的调控区域,有效提高了交通道路车流量跨区域调控的准确度和可靠性。
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