| 高速公路事件实时响应层次决策支持系统(英文) |
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| 引用本文： | 杨顺新,倪富健,陈飞.高速公路事件实时响应层次决策支持系统(英文)[J].东南大学学报,2009,25(4):536-540. |
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| 作者姓名： | 杨顺新 倪富健 陈飞 |
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| 作者单位： | 东南大学交通学院,南京,210096 |
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| 基金项目： | The Natural Science Foundation of Jiangsu Province(NoBK2008308) |
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| 摘 要： | 应用人工智能技术产生高速公路事件响应预案,提出了基于规则推理、案例推理和贝叶斯网络推理3种方法的事件响应框架. 首先, 建立了基于规则推理的高速公路事件管理系统(RK-IMS), 并应用于宁连高速公路北段事件管理过程中. 然后, 通过分析RK-IMS系统2年的运营数据, 确定了事件案例的结构表示与事件响应的贝叶斯网络结构. 最后, 应用k近邻算法计算相似性案例, 并研究了基于该算法的预案产生和控制策略. 利用2006年RK-IMS事件管理系统的实际数据对模型进行了验证. 对比分析结果表明, 该方法是有效可信的.
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| 关 键 词： | 高速公路事件 决策支持 规则推理 案例推理 贝叶斯网络 |
Hierarchical decision-making system for real-time freeway incident response |
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| Yang Shunxin Ni Fujian Chen Fei.Hierarchical decision-making system for real-time freeway incident response[J].Journal of Southeast University(English Edition),2009,25(4):536-540. |
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| Authors: | Yang Shunxin Ni Fujian Chen Fei |
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| Institution: | Yang Shunxin Ni Fujian Chen Fei(School of Transportation,Southeast University,Nanjing 210096,China) |
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| Abstract: | The artificial intelligence technique is used to generate a freeway incident response plan. The incident response framework based on rule-based reasoning,case-based reasoning and Bayesian networks reasoning is presented. First,a freeway incident management system(RK-IMS) based on rule-based reasoning is developed and applied for incident management in the northern section of the Nanjing-Lianyunguang Freeway. Then,field data from the two-year long operations of the RK-IMS are analyzed. Representations of inc... |
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| Keywords: | freeway incident decision-making rule-based reasoning case-based reasoning Bayesian networks |
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