一种高速公路拥堵预测方法及系统

By monitoring traffic flow and speed at control points on highway bottleneck sections, a mismatch prediction model is constructed, which solves the problems of lag and inflexibility in congestion prediction in existing technologies. This enables accurate prediction and effective early warning of bottleneck sections, improving traffic capacity and safety.

CN121480882BActive Publication Date: 2026-07-17GUANGDONG UNITOLL COLLECTION INC

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG UNITOLL COLLECTION INC
Filing Date
2026-01-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for predicting congestion on highway bottlenecks are lagging and inflexible, failing to act in advance at the appropriate time, resulting in decreased traffic efficiency and increased safety hazards.

Method used

By monitoring traffic flow and average vehicle speed in real time at control points on bottleneck road sections, calculating mismatch pressure and deceleration gradient values, constructing a short-term mismatch prediction model, obtaining the number of mismatch accumulations, predicting whether congestion will occur on bottleneck road sections, and issuing early warnings.

Benefits of technology

It significantly improves the prediction accuracy and execution stability of short-term instability in bottleneck sections, reduces the risk of slow wave propagation caused by long lane-changing conflicts, and improves the traffic capacity and operational reliability of highways.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明属于数据建模,动态监测技术领域,提出了一种高速公路拥堵预测方法及系统,具体为:首先在瓶颈路段清单选择瓶颈路段,并根据瓶颈路段识别布控点,于布控点实时监测并记录车流量和平均车速,然后结合各布控点,通过车流量计算错配压强,通过平均车速计算减速梯度值,最后通过错配压强与减速梯度值构建短时错配预测模型,获取错配堆积数,根据错配堆积数预测瓶颈路段是否发生拥堵并发出拥堵预警。有效量化在瓶颈段车道减少但日常通畅为前提,上游到达超过瓶颈放行且沿瓶颈方向逐段变慢共同作用时的拥堵爆发以及含容量骤降的发生风险;通过有效提前预警和干涉降低长并线冲突带来慢行波扩散的发生风险。
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