基于Matlab的BP神经网络在公交车辆调度中的应用

摘要

根据公交站点客流集散量,选用合适的BP神经网络构建公交车辆调度形式的神经网络预报模型.运用BP神经网络Matlab工具箱设计的基本方法与过程,将BP网络模型引入公交车辆的调度方案研究,计算结果表明,BP模型应用于公交车辆调度形式预测中具有较高的预测精度和良好的泛化能力.%According to the passenger flow volume of site, the paper chooses the appropriate BP neural network and establishes a neural network forecast model of public transport scheduling.Basing on the algorithm method and process of Matlab toolbox of BP neural network, the paper advances the theory of public transport scheduling.Calculation result shows that there is high precision of prediction and good generalization ability to forecast the form of transport vehicles scheduling with the BP model,and it provides new ideas and methods in the construction of intelligent transport scheduling system.