陈艳艳, 朱跃华, 王振报, 史建港. 基于MATLAB神经网络工具箱的公交出行比例预测[J]. 北京工业大学学报, 2008, 34(2): 173-177.
    引用本文: 陈艳艳, 朱跃华, 王振报, 史建港. 基于MATLAB神经网络工具箱的公交出行比例预测[J]. 北京工业大学学报, 2008, 34(2): 173-177.
    CHEN Yan-yan, ZHU Yue-hua, WANG Zhen-bao, SHI Jian-gang. Forecasting the Proportion of Transit Trips Based on Neural Network Toolbox in MATLAB[J]. Journal of Beijing University of Technology, 2008, 34(2): 173-177.
    Citation: CHEN Yan-yan, ZHU Yue-hua, WANG Zhen-bao, SHI Jian-gang. Forecasting the Proportion of Transit Trips Based on Neural Network Toolbox in MATLAB[J]. Journal of Beijing University of Technology, 2008, 34(2): 173-177.

    基于MATLAB神经网络工具箱的公交出行比例预测

    Forecasting the Proportion of Transit Trips Based on Neural Network Toolbox in MATLAB

    • 摘要: 在分析影响公交出行比例因素的基础上,运用城市已有的交通调查资料,建立了公交出行比例的BP神经网络预测模型,并利用MATLAB环境下的神经网络工具箱开发了相应程序.预测结果表明,该模型程序具有学习能力强、预测精度高、快速方便等特点,为公交出行比例的预测研究提供了一种可供借鉴的思路与方法,同时为用地规划、公交优先政策和需求管理政策的实施提供帮助.

       

      Abstract: The author attempts to do research on effect factors related to proportion of transit trips first in this paper.BP neural network prediction model is established,based on available city traffic survey data.Meanwhile,we develop corresponding programs by taking advantage of neural network toolbox in MATLAB.It is evident that it has characteristics of high learning capability,accurate prediction and convenience.And it provides a thinking and method of proportion of transit trips prediction research as a reference.

       

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