| 基于BP神经网络的城市道路轻型车排放率模型 |
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| 引用本文： | 王云鹏,李世武,郭栋,祖力,王羽,夏韠. 基于BP神经网络的城市道路轻型车排放率模型[J]. 交通与计算机, 2007, 25(5): 1-3,7 |
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| 作者姓名： | 王云鹏 李世武 郭栋 祖力 王羽 夏韠 |
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| 作者单位： | 吉林大学,长春,130022 |
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| 基金项目： | 国家自然科学基金 , 吉林省杰出青年科学基金 |
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| 摘 要： | 从不同角度研究城市道路交通流动态微观排放模型是进行交通环境评价的基础.以长春市典型城市道路为研究对象,在捷达Gix瞬时质量排放数据的基础上,利用BP神经网络建立了NOx、HC、CO3种污染物排放率模型,并运用实际道路测量数据对模型进行了验证,得出了一些有益的结论.
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| 关 键 词： | 车载排放测量 排放 神经网络 排放率模型 神经网络 典型城市 实际道路 轻型车 物排放 率模型 BP Neural Network Based Road Urban Model Rate Emission 验证 测量数据 运用 污染 利用 排放数据 瞬时质量 |
| 修稿时间： | 2007-08-27 |
Vehicle Emission Rate Model of Urban Road Based on BP Neural Network |
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| WANG Yunpeng,LI Shiwu,GUO Dong,ZU Li,WANG Yu,XIA Wei. Vehicle Emission Rate Model of Urban Road Based on BP Neural Network[J]. Computer and Communications, 2007, 25(5): 1-3,7 |
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| Authors: | WANG Yunpeng LI Shiwu GUO Dong ZU Li WANG Yu XIA Wei |
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| Affiliation: | Jinlin University, Changchun 130022, China |
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| Abstract: | Study of vehicle dynamic microcosmic emission model of urban road through different ways is the basis for traffic environmental evaluation. In this paper, with the typical urban road in Changchun as research object and based on the instantaneous mass emission of Jetta Gix car in real time, by using BP neural network method, the neural network emission rate models of three kinds of contaminations were established respectively, including NOx model, HC model, and CO model. These models were validated through the measured data. The result indicates the models can represent the typical urban road emission status of the single vehicle in Changchun city. |
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| Keywords: | onboard emission measurement emission neural network emission rate model |
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