| 地铁换乘客流实时监测模型研究 |
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| 引用本文： | 丁蕾,徐永能,姜毅.地铁换乘客流实时监测模型研究[J].都市快轨交通,2011,24(6):56--59. |
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| 作者姓名： | 丁蕾 徐永能 姜毅 |
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| 作者单位： | 南京理工大学交通工程系 南京210094 |
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| 摘 要： | 针对地铁换乘客流随机性强及短时冲击性等特点,在分析地铁线网结构的基础上,提出基于时序倒推的地铁换乘客流实时监测模型,并采用BP神经网络算法进行模型求解。选取南京地铁典型换乘站对所述方法进行分析验证,进一步说明模型的合理性和可行性。
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| 关 键 词： | 地铁 换乘客流 时序倒推 实时监测 BP神经网络 |
| 修稿时间： | 2013/12/12 0:00:00 |
Study on Real-time Monitoring Model for Metro Interchange Passenger Flows |
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| Ding Lei,Xu Yongneng,Jiang Yi.Study on Real-time Monitoring Model for Metro Interchange Passenger Flows[J].Urban Rapid Rail Transit,2011,24(6):56--59. |
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| Authors: | Ding Lei Xu Yongneng Jiang Yi |
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| Institution: | (Department of Transportation Engineering,Nanjing University of Science & Technology,Nanjing 210094) |
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| Abstract: | Metro transfer station is an important node for urban rail transit network.Its transfer efficiency directly affects the transport capacity.With the metro interchange passenger flow characterized by high randomness and short-term impact as the focus,the structure of subway network was analyzed in this paper,and a time-diminishing and real-time monitoring model was proposed.The model was solved by BP neural network algorithm.A typical subway station of Nanjing metro was selected to verify the model,and the simulation results showed that the model is reliable. |
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| Keywords: | metro interchange passenger flow time-diminishing real-time monitoring BP neural network |
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