The invention relates to a road network flow prediction method for urban traffic signal control. The method comprises the following steps: S1, obtaining complete road network data based on RFID data and field investigation; s2, calculating travel time consumption change values under different management and control conditions in combination with a BPR function; s3, substituting the change condition of the travel time consumption into a travel sample passing through the path, and calculating the travel probability of the path based on an improved MNL model; s4, distributing the road traffic flow to the road section according to the travel path selection probability to obtain the predicted traffic volume of the road section; s5, the predicted traffic volume is substituted into the BPR function again, iterative calculation is carried out multiple times until the predicted traffic volume converges, and a final predicted value is output. The method has the advantages of being accurate in prediction and small in error.
本发明涉及一种城市交通信号控制的路网流量预测方法,包括以下步骤:S1:基于RFID数据和实地调查获取完整路网数据;S2:结合BPR函数计算不同管控条件下出行时耗变化值;S3:将出行时耗的变化情况代入通过该路径的出行样本中,基于改进的MNL模型计算该路径的出行概率;S4:根据出行路径选择概率将道路交通流量分配到该路段上,得到该路段的预测交通量;S5:将预测的交通量再次带入BPR函数,进行多次迭代计算,直到预测交通量收敛,输出最终的预测值,本发明具有预测准确、误差小的优点。
Road network flow prediction method for urban traffic signal control
一种城市交通信号控制的路网流量预测方法
2023-11-03
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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