| 基于模糊神经网络的短时公交到站时间预测 |
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| 引用本文： | 李大铭,赵新良,林永杰,邹难.基于模糊神经网络的短时公交到站时间预测[J].东北大学学报(自然科学版),2011,32(3):443-446. |
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| 作者姓名： | 李大铭 赵新良 林永杰 邹难 |
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| 作者单位： | 东北大学工商管理学院;山东大学控制科学与工程学院; |
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| 基金项目： | 辽宁省教育厅人文社会科学基金资助项目(2009JD31) |
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| 摘 要： | 研究了中国公交运营特点,利用全球定位系统和电子票务收费系统收集的车辆实时信息,建立了路段和站点补偿模糊神经网络模型,分别预测车辆的路段行驶时间和站点停留时间.路段预测模型的输入是所有重合线路的站点行驶数据,改变了现有预测模型只采用单线路数据的不足.以济南市一条实际公交线路为例,利用VISSIM模拟专用道和非专用道两种道...
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| 关 键 词： | 公交到站时间 短时预测 模糊策略 补偿模糊神经网络 重合线路 |
Short-Term Bus Arrival Time Prediction Using a Fuzzy Neural Network |
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| LI Da-ming,ZHAO Xin-liang,LIN Yong-jie,ZOU Nan.Short-Term Bus Arrival Time Prediction Using a Fuzzy Neural Network[J].Journal of Northeastern University(Natural Science),2011,32(3):443-446. |
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| Authors: | LI Da-ming ZHAO Xin-liang LIN Yong-jie ZOU Nan |
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| Institution: | LI Da-ming1,ZHAO Xin-liang1,LIN Yong-jie2,ZOU Nan2(1.School of Business Administration,Northeastern University,Shenyang 110819,China,2.School of Control Science and Engineering,Shandong University,Jinan 250061,China.) |
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| Abstract: | This paper studies bus operation in China and presents a short-term bus arrival time prediction model using fuzzy neural network(FNN) with real-time traffic information collected by a global positioning system and an electronic payment system.Road segment and bus stop based FNN are proposed to predict bus travel time on road segments and time spent at bus stops.As opposed to previous studies, the present approach considers traffic data collected at bus stops with overlapping multiple bus routes instead of a... |
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| Keywords: | bus arrival time short-term prediction fuzzy strategy compensation fuzzy neural network overlapping routes |
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