The invention discloses a lane-level congestion prediction method for urban intelligent network connection mixed traffic flow. The method comprises six steps. The method comprises the following steps: acquiring the instantaneous displacement of an intelligent network connection vehicle and the instantaneous speed of the intelligent network connection vehicle, measuring and calculating the instantaneous displacement of a non-intelligent network connection vehicle and the instantaneous speed of the non-intelligent network connection vehicle, calculating the average speed of the mixed traffic flow on a target lane, searching the time sequence feature points of the average speed of the mixed traffic flow on the target lane, and calculating the average speed of the mixed traffic flow on the target lane. Calculating the total disorder of the mixed traffic flow on the target lane, searching the time sequence feature points of the total disorder of the mixed traffic flow, and predicting the end moment of the single congestion change of the target lane and the average speed of the mixed traffic flow at the moment. According to the method, the influence of microscopic vehicle motion state changes of all lanes of a road section on the speed and congestion evolution of a target lane is expressed through modeling, collected real-time traffic flow data serves as model input, prediction results of the congestion trend and the traffic flow speed are output, and therefore the purpose of preventing and relieving congestion is achieved.

    本发明公开了一种面向城市智能网联混合交通流的车道级拥堵预测方法。所述方法分为六个步骤,即获取智能网联车辆的瞬时位移与智能网联车辆的瞬时速度、测算非智能网联车辆的瞬时位移与非智能网联车辆的瞬时速度、计算目标车道上混合交通流平均速度、搜寻目标车道上混合交通流平均速度时间序列特征点、计算目标车道上混合交通流总紊乱并搜寻混合交通流总紊乱时间序列特征点、预测目标车道单次拥堵变化的结束时刻与该时刻混合交通流平均速度。所述方法通过建模表达路段各车道微观车辆运动状态变化对目标车道速度与拥堵演变的影响,将采集到的实时交通流数据作为模型输入,输出拥堵趋势与交通流速度的预测结果,从而达到预防和缓解拥堵的目的。


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    Title :

    Lane-level congestion prediction method for urban intelligent network connection mixed traffic flow


    Additional title:

    一种面向城市智能网联混合交通流的车道级拥堵预测方法


    Contributors:
    ZONG FANG (author) / LI YUXUAN (author) / YUE SHENG (author) / TANG MING (author) / WU HUAN (author) / WANG SIQI (author) / ZHAO KUN (author) / JIANG SHUO (author)

    Publication date :

    2025-05-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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