| 基于GTM-中文版权目录TT算法的城市区域交通状态分析 |
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| 引用本文： | 赵志强,张毅,胡坚明. 基于GTM-中文版权目录TT算法的城市区域交通状态分析[J]. 吉林大学学报(工学版), 2009, 0(Z2) |
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| 作者姓名： | 赵志强 张毅 胡坚明 |
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| 作者单位： | 清华大学自动化系; |
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| 基金项目： | “973”国家重点基础研究发展规划项目(2006CB705506);;国家自然科学基金项目(50708054,60774034);;“863”国家高技术研究发展研究计划项目(2007AA11Z222);;“十一五”国家科技支撑项目(2006BAJ18B02) |
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| 摘 要： | 将GTM-TT算法应用到城市区域交通状态的分析研究中,通过对北京市实际道路29个线圈89天的占有率数据进行分析,实现了高维数据的可视化和无监督聚类。在隐平面中,不同区域代表不同交通拥堵状况。统计发现频繁发生的状态转移跨度小,符合交通状态缓慢变化的认识。最后将89天按隐平面上的状态序列向量之间的距离进行层次聚类,聚为4类,分析发现了每类所代表的典型交通过程。
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| 关 键 词： | 交通运输工程 多元时间序列 生成式拓扑映射的时间扩展 交通状态分析 无监督聚类 数据可视化 |
Multi-dimensional regional traffic status analysis based on GTM-TT |
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| ZHAO Zhi-qiang,ZHANG Yi,HU Jian-ming. Multi-dimensional regional traffic status analysis based on GTM-TT[J]. Journal of Jilin University:Eng and Technol Ed, 2009, 0(Z2) |
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| Authors: | ZHAO Zhi-qiang ZHANG Yi HU Jian-ming |
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| Affiliation: | Department of Automation;Tsinghua University;Beijing 100084;China |
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| Abstract: | The occupancy data of a small region contains 29 loops in Beijing city was analyzed using generative topographic mapping through time(GTM-TT).The original data was mapped from 29-dimensional space to 2-dimensional space which is easy for visualization and clustered into different classes naturally.The statistics of states transfer show that the most probably transfer distance was within 1 step.At last the 89 days was clustered into 4 types using hierarchical clustering method according to the Euclidean dist... |
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| Keywords: | engineering of communication and transportation multivariate time series GTM-TT traffic status analysis unsupervised clustering data visualization |
| 本文献已被 CNKI 等数据库收录！ |
