| ITS系统的人工蜂群动态诱导算法设计研究 |
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| 引用本文： | 蔡思静. ITS系统的人工蜂群动态诱导算法设计研究[J]. 互联网天地, 2014, 0(6): 51-55 |
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| 作者姓名： | 蔡思静 |
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| 作者单位： | 福建工程学院,福州350108 |
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| 基金项目： | 福建省教育厅科技项目,物联网环境下数字医疗信息系统的智能居家模型研究（No.JA12232）;福建省科技重大专项专题,面向生产经营全过程的制造物联集成系统的研发与示范应用（No.2013HZ0001-4）;福建省科技厅自然科学基金项目,营运车辆超速感知与安全预警系统的研究（No.2013J01215） |
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| 摘 要： | 针对城市交通压力问题,进行ITS设计,完成物联网环境下的实时感知、网络通信和上位机开发。基于路径搜索的多目标优化问题,结合实时动态信息,进行人工蜂群动态诱导算法设计。模拟结果表明,本方法能够根据实时交通路网信息做出最优路径选择,实现系统动态诱导和信息优配。
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| 关 键 词： | ITS 人工蜂群 动态诱导 多目标优化 Mathematica |
Research on the Design of the Artificial Bee Colony Dynamic Induction Algorithm for ITS |
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| Cai Sijing. Research on the Design of the Artificial Bee Colony Dynamic Induction Algorithm for ITS[J]. China Internet, 2014, 0(6): 51-55 |
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| Authors: | Cai Sijing |
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| Affiliation: | Cai Sijing;(Fujian University of Technology; Fuzhou 350108, Chi,la) |
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| Abstract: | Imelligent transportation system was designed for easing the urban lraffic pressure. The design of real-time perception, internetwork communication and host computer under tile lOT were proposed. Based on the muhi-objective optimization problem for path searching, combined with real-time dynamic information, the artificial bee colony dynamic induction algorithm was designed. Simulation experiment resuhs show that the method can choose the optimal path according to the corresponding situation, and the dynamic guidance and optimization configuration were achieved. |
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| Keywords: | ITS artificial bee colony dynamic induction multi-objective optimization. Mathematica |
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