基于流动车数据的道路车速匹配与实时发布  

Floating Car Data Based Matching of Routing Velocity and Its Instantaneous Traffic Information Publication

作　　者：刘春[1,2] 杨超[3] 范业明[1] 

机构地区：[1]同济大学测量与国土信息工程系,上海市四平路1239号200092 [2]现代工程测量国家测绘局重点实验室,上海市四平路1239号200092 [3]同济大学交通工程系,上海市四平路1239号200092

出　　处：《武汉大学学报（信息科学版）》2010年第4期394-398,共5页Geomatics and Information Science of Wuhan University

基　　金：国家863计划资助项目(2007AA11Z206);国家教育部留学回国人员科研启动基金资助项目

摘　　要：介绍了流动车数据的概念,给出了处理流动车数据基本流程。给出了顾及历史定位数据的流动车数据地图匹配算法,提出了在一定准则下的路段速度匹配的方法,并根据现场检验结果分析了方法的有效性。随后给出了基于网络地理信息系统构建道路拥挤状况实时发布系统的框架。Instantaneous traffic information can be collected by the Floating Car Data （FCD） method. Based on the establishment of ＂Shenzhen Urban Transportation Simulation System＂ （SUTSS）, the paper explored how to use taxis as the data collection sensors in Shenzhen. Due to the nature of FCD, continuous GPS data such as routing velocities and coordinates can be collected by any GPS equipped vehicle. Therefore, relevant algorithms are developed and utilized for the map-matching according to probability and statistical theories. Furthermore, road segment velocity matching methods based on the Metropolis criteria is extended and relevant validation is carried out through the comparison of estimated and measured results. The major objective of this method is to obtain more accurate road segment travel time through the combination those estimated by FCD and historical ones. This can significantly improve the reliability of instantaneous traffic information before its web publication. Finally, this paper introduces the architecture and the realization of a web Geographical Information System （GIS） and FCD-based instantaneous traffic information dissemination system for the whole of Shenzhen City.

关 键 词：全球定位系统 地图匹配 流动车数据 网络GIS 

分 类 号：P208[天文地球—地图制图学与地理信息工程] U412[天文地球—测绘科学与技术]