计算机与数字工程2024，Vol.52Issue(1)：294-300,7.DOI:10.3969/j.issn.1672-9722.2024.01.049
基于交通小区短时交通生成预测的城市道路网短时动态交通预测研究
Research on Short-time Dynamic Traffic Prediction of Urban Road Network Based on Short-time Traffic Generation Prediction of Traffic Zones
沈玲宏 1赵顗 2王祉祈2
作者信息
- 1. 苏州建设交通高等职业技术学校轨道交通工程系 苏州 215009
- 2. 南京林业大学汽车与交通工程学院 南京 210037
- 折叠
摘要
Abstract
The difference of land use nature around urban roads leads to the difference of short-time occurrence and attraction traffic volume,which directly affects the traffic flow on the urban road network.This paper makes short-time prediction of occur-rence and attraction traffic volume of each plot in the urban road network,and allocates the predicted traffic volume to the urban road network through dynamic traffic,so as to realize short-time dynamic traffic prediction of the urban road network.The single BP neural network model is used as the comparison model,and the model is trained and parameter calibrated,and the prediction effect of the model is tested.The experimental results show that the prediction accuracy of the proposed prediction method can be improved by up to 84.28%compared with that of BP neural network.关键词
短时交通预测/小波分析/神经网络/交通分配/组合预测模型Key words
short-time traffic prediction/wavelet analysis/neural network/traffic assignment/combined prediction model分类
交通工程引用本文复制引用
沈玲宏,赵顗,王祉祈..基于交通小区短时交通生成预测的城市道路网短时动态交通预测研究[J].计算机与数字工程,2024,52(1):294-300,7.
