[1]杨顺新,熊聪峰,倪富健.基于范例推理的高速公路事件管理系统[J].东南大学学报(自然科学版),2008,38(5):878-883.[doi:10.3969/j.issn.1001-0505.2008.05.026]
 Yang Shunxin,Xiong Congfeng,Ni Fujian.Freeway incident management system based on case-based reasoning[J].Journal of Southeast University (Natural Science Edition),2008,38(5):878-883.[doi:10.3969/j.issn.1001-0505.2008.05.026]
点击复制

基于范例推理的高速公路事件管理系统()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
38
期数:
2008年第5期
页码:
878-883
栏目:
交通运输工程
出版日期:
2008-09-20

文章信息/Info

Title:
Freeway incident management system based on case-based reasoning
作者:
杨顺新 熊聪峰 倪富健
东南大学交通学院, 南京 210096
Author(s):
Yang Shunxin Xiong Congfeng Ni Fujian
School of Transportation, Southeast University, Nanjing 210096, China
关键词:
事件管理系统 范例推理 高速公路
Keywords:
incident management system case-based reasoning freeway
分类号:
U491.3
DOI:
10.3969/j.issn.1001-0505.2008.05.026
摘要:
针对高速公路事件的特性,将人工智能中的范例推理引入了高速公路突发事件管理中.介绍了范例推理流程,主要包括检索模块、重用模块、修正模块和保存模块.根据CBR推理的基本原则对CBR的工作过程进行了修正,同时提出了相应的高速公路紧急事件管理系统的架构.在该架构中,一个完整的范例包括3个部分,分别是范例表述部分、决策响应预案部分和有效性评价部分.范例表述使用的是属性-值的表示方式.范例检索模块采用基于层次范例的结构辅以权重计算的方法来进行范例的相似度计算,最后,应用这些方法实现了基于范例的高速公路紧急事件管理系统,并且配合基于规则推理的RK-IMS紧急事件管理系统使用.实际应用表明,将范例推理用于高速公路突发事件管理系统的研究,能有效发挥高速公路相关资源的功效,提高高速公路突发事件管理系统的水平.
Abstract:
According to the characteristics of freeway incident, the case-based reasoning(CBR), one of artificial intelligence reasoning paradigms, is introduced to improve the freeway incident management. Firstly, the processes of the CBR are described briefly which can be represented as a cyclical process consisting of four tasks: retrieve module, reuse module, revise module and retain module. Then improvement on the CBR work processes are made according to the basic principle of cased-based reasoning, and the corresponding emergent freeway incident management system framework is proposed. In this framework, a complete case includes three parts: case description, preplan of decision and evaluation of effectiveness. The attribute-value pair’s representation is used within case representation. Using the hierarchical case structure and based on the study of case retrieval pattern, the weighting method for calculating similarity and discrete method of incident information are proposed. At last, added as a supplement of current RK-IMS(a rule based reasoning freeway incident management system), these methods are validated in field practice which results in good performance.

参考文献/References:

[1] Chowdhury M A,Sadek A W,Ma Yongchang,et al.Applications of artificial intelligence paradigms to decision support in real-time traffic management [C] //Transportation Research Board.Washington DC,2006:92-98.
[2] Khattak A,Kanafani A.Case-based reasoning:a planning tool for intelligent transportation systems [J].Transportation Research Part C,1996,4(5):267-288.
[3] Ozbay K,Kachroo P. Incident management in intelligent transportation systems [M].Boston:Artech House,1999.
[4] Yang Shunxin.Hierarchical decision-making system for real-time freeway incidents response [C] //Transportation Research Board.Washington DC,2008:1-17.
[5] Yang Shunxin.Effective freeway incident response:a Bayesian network based algorithm [C] //TDIBP 2008.Beijing,China,2008:344-349.
[6] Sadek A W,Smith B L,A prototype case-based reasoning system for real-time freeway traffic routing [J].Transportation Research Part C,2001,9(5):51-72.
[7] Madanat S M,Cassidy M J,Teng Hua-Liang.Decision-making system for freeway incident response using sequential hypothesis testing methods [C] //Transportation Research Board.Washington DC,1996:228-235.
[8] Hegyi A,de Schutter B,Hoogendoorn S.A fuzzy decision support system for traffic control centers [C] //IEEE Intelligent Transportation Systems.Oakland,CA,USA,2001:358-363.
[9] Yang Shunxin.Freeway incident management system application in Jiangsu,China [C] //2007 IEEE Intelligent Transportation Systems Conference.Seattle,WA,USA,2007:76-80.
[10] Chow H K H,Choy K L,Lee W B.Design of a knowledge-based logistics strategy system [J]. Expert Systems with Applications,2005,29(2):272-290.

备注/Memo

备注/Memo:
作者简介: 杨顺新(1971—),男,博士生,讲师,shunxin.yang@gmail.com.
基金项目: 江苏省高速公路管理中心科研资助项目(8521001400).
引文格式: 杨顺新,熊聪峰,倪富健.基于范例推理的高速公路事件管理系统[J].东南大学学报:自然科学版,2008,38(5):878-883.
更新日期/Last Update: 2008-09-20