摘要
针对传统统计学方法在研究浮动车车速时未考虑其空间结构性的问题,在分析传统统计学研究缺陷的基础上,介绍了地统计学的特点、应用领域和在车速研究中的应用原理;阐述了空间分析方法的总体模型和算法流程.利用北京市2005年5月研究样区的实际速度数据对浮动车的车速进行了空间结构分析和空间插值分析.结果证明,地统计学方法作为一种分析空间数据的新方法,能够解决传统统计学方法无法解决的空间变异性问题.对研究具有空间特征的交通对象,开辟了一条新途径和提供了一种新思路,对研究宏观层面的交通规划和中观层面的交通系统运行特征具有重要的参考意义并具有广阔的应用前景.
Based on the analysis of shortcomings of traditional statistics research methods, the characteristics of geostatistics and its applied fields and, application principles are proposed to improve the traditional research method of statistics on the floating car speed without considering its spatial structure. Meanwhile, the spatial analysis model and the solving algorithm are presented. The spatial structure and the interpolation of floating car speeds are analyzed by the floating ear speed data of the study area in Beijing in May 2005. The results show that the geostatistics as a new spatial analysis method can solve the spatial variability problems which the traditional statistics methods cannot attained. The geostatistics provide a novel idea to study spatial transportation objects, which has important reference value to macro-level transportation planning and meso- level operating characteristics of transportation system and has good application prospects.
出处
《交通运输系统工程与信息》
EI
CSCD
北大核心
2012年第1期36-41,共6页
Journal of Transportation Systems Engineering and Information Technology
基金
中国博士后科学基金(20060400496
20080430688
200902253)
国家自然科学基金(50908173)
国家航天局环境星应用推广课题(2008A02A09)
关键词
交通工程
空间分布
地统计学
浮动车车速
traffic engineering
spatial distribution
geostatistics
floating car speed
