交通拥堵情况下一种基于模糊神经网络的路径选择方案

A Path Choose Method in Traffic Congestion Situation Base on Fuzzy Neural Network

在确立了交通拥堵情况下路径选择指标体系的基础上,建立了基于模糊神经网络的交通拥堵路径评估模型。该网络具有五个因子输入,一个衡量路径花费时间的输出,总共三层的结构,且输入层具有对输入参数进行模糊化的能力。利用实际样本数据进行实证分析,训练结果表明网络预测误差小。

A path assessment model based on fuzzy neural network is established using the path choice index system proposed for traffic congestion situation.This network is a 3-storey structure with 5 factor inputs and one output measuring the time cost of path.The input layer has the capability of fuzzy input factors.A substantiation analysis has been made with many sampled data and training results indicate that the network prediction has less error.