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基于人工免疫算法的十字路口交通流优化分析
引用本文:邬依林.基于人工免疫算法的十字路口交通流优化分析[J].广东教育学院学报,2006,26(3):88-91.
作者姓名:邬依林
作者单位:广东教育学院计算机科学系,广东广州510303
基金项目:广东省社会科学基金;中山大学校科研和教改项目
摘    要:将人工免疫算法应用于十字路口交通流数据的分类处理.将所分析的数据作为抗原,利用抗体、抗原的亲和作用,通过刺激/抑制有关抗体的活动建立一个抗体记忆池,再运用传统的聚类分析方法,对抗体记忆池进行分类,仿真实验结果清晰地反映了路口交通流数据网络的内在结构,为交通路口的红绿灯控制采用动态模式提供理论依据,同时说明人工免疫算法具有广阔的实用价值.

关 键 词:人工免疫算法  优化分析  交通流  十字路口
文章编号:1007-8754(2006)03-0088-04
收稿时间:02 25 2006 12:00AM
修稿时间:2006年2月25日

The Crossroad Traffic Flux Optimization Analysis Based on Artificial Immune Clustering Algorithm
WU Yi-lin.The Crossroad Traffic Flux Optimization Analysis Based on Artificial Immune Clustering Algorithm[J].Journal of Guangdong Education Institute,2006,26(3):88-91.
Authors:WU Yi-lin
Institution:Dept. of Computer Science, Guangdong Education Institute, Guangzhou, Guangdong, 510303, P. R. China
Abstract:By employing an artificial immune clustering algorithm, the crossroad traffic flux data is analyzed. Inspired by the metaphor of the interaction of antibodies with antigens, it processes the data as antigens, and then gets an antibody memory cell dataset by inspiring or restraining the activity of antibodies. Henceforth, the memory dataset is classified on the basis of traditional clustering method. The result of classification clearly reveals the inner network structure of crossroad traffic flux data. Therefore, the approach addressed here may provide theoretical support for dynamic control strategy of traffic lights. Moreover, it illustratea the wide practical value of the artificial immune clustering algorithm.
Keywords:artificial immune clustering algorithm  optimization Analysis  traffic flux  crossroad
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