首页 | 本学科首页   官方微博 | 高级检索  
     检索      

浮动车行程速度探索性分析
引用本文:刘兴权,欧阳俊,陆锋,段滢滢.浮动车行程速度探索性分析[J].测绘科学,2012,37(5):160-163.
作者姓名:刘兴权  欧阳俊  陆锋  段滢滢
作者单位:1. 中南大学地球科学与信息物理学院,长沙,410083
2. 中南大学地球科学与信息物理学院,长沙410083;中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101
3. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京,100101
基金项目:国家自然科学基金项目(40871184)《自然语言表达城市交通信息的融合与应用技术研究》
摘    要:城市交通系统是一个有人参与的、动态的和开放的复杂系统。传统的均值、方差等统计方法已难以直观地表达和发现城市交通流的潜在特征。而目前基于确定的交通流数学模型虽然能定量地揭示其非线性动力学特征,但存在着表达式复杂却精确度不够且灵活性欠缺和通用性不强的问题。本文探讨了城市行车速度的探索性分析方法的可行性,并以北京市四环内路段行车速度为例进行试验,结果表明,浮动车行车速度的探索性分析方法是有效的和实用的,可为交通流的特征分析特别是实时交通异常检测的研究提供参考思路。

关 键 词:探索性分析  可视化表达  交通异常检测  分位

Exploratory analysis of travel speed based on floating car data
LIU Xing-quan , OU-yang Jun , LU Feng , DUAN Ying-ying.Exploratory analysis of travel speed based on floating car data[J].Science of Surveying and Mapping,2012,37(5):160-163.
Authors:LIU Xing-quan  OU-yang Jun  LU Feng  DUAN Ying-ying
Institution:②(①School of Geoscience and Environmental Engineering,Central South University,Changsha 410083,China;②State Key Laboratory of Resources and Environmental Information System,Institute of Geographical Science and Natural Resources Research,CAS,Beijing 100101,China)
Abstract:Urban transport system is a participatory,dynamic and open complex system.Conventional statistical methods such as mean and variance can no longer describe and discover potential characteristics of urban traffic flow.Furthermore,although existing mathematical models have been presented to reveal quantitatively nonlinear dynamics and chaos mechanism of traffic flows,it is still unavailable in practice because of its complicated expressions and lack of accuracy and flexibility.In this paper,exploratory analysis of travel speed based on the floating car data was discussed,and examined using real data sets of the fifth ring roadway sections in Beijing.This paper presented an exploratory analysis method for traffic anomaly detection based on quantile that conducts strong anti-disturbance and robustness performance.The results of applications showed that the proposed idea was feasible and effective,and could provide a referencial perspective on studying characteristics of traffic flow,especially traffic anomaly detection.
Keywords:exploratory analysis  visualization  traffic anomaly detection  quantile
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号