| 基于BP神经网络的居民出行方式选择模型 |
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| 引用本文： | 殷焕焕,关宏志.基于BP神经网络的居民出行方式选择模型[J].交通与计算机,2011,29(3):47-50. |
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| 作者姓名： | 殷焕焕 关宏志 |
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| 作者单位： | 北京工业大学交通工程北京市重点实验室,北京,100124 |
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| 基金项目： | 国家自然科学基金资助项目(批准号:50978008); 北京市自然科学基金资助项目(批准号:8102007)资助 |
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| 摘 要： | 以城市居民出行方式选择行为作为研究对象,分析了影响出行方式选择行为的主要因素,利用BP神经网络可以自动获取研究对象的输入、输出间关系和较强的学习训练特性,建立了基于BP神经网络的居民出行方式选择模型,并通过2009年济南市居民出行调查数据对模型进行了实例分析。结果表明：BP神经网络模型能够较好地描述居民出行交通方式选择行为。
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| 关 键 词： | 居民出行 方式选择 BP神经网络 |
A Back-propagation(BP) Neural Network Based Traffic Mode Choice Model |
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| YIN Huanhuan,GUAN Hongzhi.A Back-propagation(BP) Neural Network Based Traffic Mode Choice Model[J].Computer and Communications,2011,29(3):47-50. |
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| Authors: | YIN Huanhuan GUAN Hongzhi |
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| Institution: | YIN Huanhuan GUAN Hongzhi(Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,China) |
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| Abstract: | This paper analyzes the related factors affecting resident traffic mode choice and develops a BP neural network based traffic mode choice model based on its strengths in automatically correlating input/output and strong learning capability.The model is verified by 2009 residential travel survey data from City of Jinan.The results show that the model has good prediction accuracy and can be utilized for resident trip traffic mode choice forecast. |
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| Keywords: | residential travel traffic mode choice Back-propagation neural network |
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