1、其次,在介绍、研究前人研究成果的基础上,结合各智能算法,研究了在智能系统中的应用,包括构件、规则修改、信息素更新、收敛测试、样本数据修改等几个重要步骤。同时,分析了地铁乘客出行的心理特征,并在此基础上,融合乘客选择地铁线路决策的因素,建立了基于换乘次数和时间长短的地铁线路选择模型,并完成了系统的设计。系统运用了动态缓存技术对常用地铁线路进缓存,能获得很高的运算速度。设计的软件较为符合地铁运营的实际情况,充分考虑了不同地铁乘客的实际要求,有较强的实际应用价值。实验结果标明,该算法可以使专家系统准确有所保证。但是鉴于智能算法中参数选择的复杂性,可以在以后的实践检验中通过继续优化规则和参数设置,取得
2、更加完美的成果。关键词:地铁线路;智能查询;设计与实现AbstractThe intelligent query system development of urban subway in a relatively backward level,the passengers can get information way very few, in order to solve this problem, speed up the development of urban subway informatization, the city subway line intelligent query
3、 system is designed. Subway line intelligent query system is the combination of the MAS technology and Web technology, based on the subway line intelligent query system can easily subway stations route information query and the optimal transfer between station and station route query, which facilita
4、tes peoples travel choice. Paper mainly studies based on MAS building subway lines of the intelligent query system about technology and the subway line intelligent algorithm combined with ant colony algorithm design. The application of ant colony algorithm is a hot research topic in the field of art
5、ificial intelligence in recent years, in the field of engineering application, the computer simulation, etc are solved a lot of practical problems. In the design process, the author firstly introduces the principle, characteristics of ant colony algorithm, and analyzes the development situation of u
6、rban subway passenger information system. Secondly, in the introduction, the research on the basis of predecessors research results, combined with the intelligent algorithm, in the application of intelligent system is studied, including the component, rule changes, pheromone update, convergence test
7、, the sample data modification and so on several important steps. At the same time, the paper analyzes the psychological characteristics of subway passengers, and on this basis, the fusion of passengers choose subway line decision factors, based on the transfer number and duration of the subway rout
8、e choice model, and complete the design of the system. System using the technique of dynamic cache to common metro lines into the cache, can get very high speed. Software design more accord with the actual situation of metro operation, give full consideration to the actual requirements of different
9、subway passengers, has the strong practical application value. The experimental results indicate that the algorithm can make the expert system to ensure accurately. But because of the complexity of the parameter selection in intelligent algorithm, can be in the later practice inspection rules and pa
10、rameters were optimized by continuing to set, more perfect results.Key Words: Subway lines; Intelligent query; Design and implementation目录第1章 绪论11.1 课题研究的目的和意义1.2 现有地铁查询现状及国内外换乘算法研究分析1.2.1 美国 APTS 研究1.2.2 日本 APTS 研究1.2.3 欧洲 APTS 研究第2章 地铁线路智能查询系统分析2.1 地铁信息查询系统结构分析2.2 乘客出行心理分析2.3 地铁信息查询系统工作流程分析2.4 地铁系
11、统分析2.4.1 地铁站点分析2.4.2 地铁线路分析2.4.3 地铁网络的抽象2.5 换乘方案的分析2.6 本章小结第3章 蚁群算法3.1 蚁群算法的发展历程3.2 蚁群算法的基本原理3.3 蚁群算法模型及其参数选择3.3.1 蚁群算法的模型3.3.2 蚁群算法的参数选择3.3.3 蚁群算法的改进3.4 蚁群优化算法模型3.5 本章小结第4章 系统的设计4.1 系统的设计目标4.2 地铁线路智能优化数学模型4.3 系统的平台与结构设计4.3.1 系统的平台4.3.2 系统概要结构设计4.3.3 系统数据库的设计与实现4.3.4 系统查询详细实现4.4 结合蚁群算法计算地铁网络最短路径4.5 查询决策过程4.6 本章小结第5章 系统实现和测试5.1 用户界面设计的原则5.2 地铁线路智能蚁群算法实现5.3 数据库查询过程5.4 地铁线路智能算法查询结果分析5.5 系统测试5.6 本章小结第六章 总结与展望参考文献致 谢
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