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| 基于BP神经网络的公交线路站点时段上下车人数预测模型 | |
| 引用本文： | 刘翠,张艳青,陈洪仁.基于BP神经网络的公交线路站点时段上下车人数预测模型[J].交通标准化,2008(5):186-189. |
| 作者姓名： | 刘翠 张艳青 陈洪仁 |
| 作者单位： | 1. 深圳市综合交通设计研究院,广东,深圳,518033 2. 北京中交公规交通工程技术有限公司,北京,100070 3. 哈尔滨工业大学,黑龙江,哈尔滨,150090 |
| 摘 要： | 公交线路客流预测是公交调度优化技术的基础研究内容。通过对公交线路站点时段上下车人数主要相关影响因素的分析，并根据改进的BP学习算法，而建立的基于改进的BP神经网络的公交线路站点时段上下车人数预测模型．经哈尔滨市有关调查数据的训练与检验，证明具有较高的预测精度。 |
| 关 键 词： | 公共交通 公交线路客流预测 BP神经网络 |
Transit Station's Temporal Getting on/off Flow Forecasting Model Based on BP Neural Network |
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| LIU Cui,ZHANG Yan-qing,CHEN Hong-ren.Transit Station''''s Temporal Getting on/off Flow Forecasting Model Based on BP Neural Network[J].Communications Standardization,2008(5):186-189. | |
| Authors: | LIU Cui ZHANG Yan-qing CHEN Hong-ren |
| Institution: | LIU Cui, ZHANG Yan-qing, CHEN Hong-ren(1.Shenzhen Comprehensive Transportation Design ＆ Research Institute, Shenzhen 518033, China; 2.Beijing Zhongjiao Gonggui Traffic Engineering Technology Co., Ltd., Beijing 100070, China; 3.Harbin Institute of Technology, Harbin 150090, China) |
| Abstract: | Transit line patronage prediction is the core of transit operation optimization technologies. Through the analysis of main relative factors of transit station＇s temporal getting on/off flow, the transit station＇s temporal getting on/off flow forecasting model based on improved BP neural network is built up. The model is trained and testified with data from Harbin, the result proved that the forecast precision of the model is relatively high. |
| Keywords: | public transportation transit line patronage prediction BP neural network |
| 本文献已被 维普 万方数据 等数据库收录！ | |