交通运输研究2016，Vol.2Issue(4)：62-71,10.DOI:10.16503/j.cnki.2095-9931.2016.04.009
一种基于WSN和GPS融合定位的浮动车路况优化研究与验证
A Floating Car Data Optimization Algorithm and Verification Based on WSN and GPS Data Fusion
摘要
Abstract
In order to solve the problem of"signal drift"and"signal blind zone"of FCD (floating car data) in the city, improve the road adaptation accuracy of map and the traffic information accuracy, the wireless location technology of WSN (wireless sensor networks) and map-matching technology were studied and applied, a data fusion framework was designed, and a traffic optimization algorithm and cal⁃culation process based on the integration of WSN and GPS (global positioning system) data were pro⁃posed, which could be used to detect the vehicle travelling condition and the degree of congestion. Tak⁃ing an example of some field data of 800 vehicle sensor nodes, 20 roadside sensor nodes and 3 sections in Guangzhou, the effect of this optimization algorithm was tested. The results showed that the road adap⁃tation accuracy of map was improved by about 4%, the traffic information accuracy was improved by about 5%, and the processing speed of traffic information was improved after adding WSN positioning da⁃ta and using the algorithm. It proves that the accuracy and effectiveness of FCD can be improved by us⁃ing the integration positioning data of WSN and GPS with the optimization algorithm.关键词
WSN/GPS/融合定位/浮动车/信号盲区/城市交通Key words
WSN(wireless sensor networks)/GPS(global positioning system)/fusion location/FCD (floating car data)/signal blind zone/urban transport分类
交通工程引用本文复制引用
舒采焘..一种基于WSN和GPS融合定位的浮动车路况优化研究与验证[J].交通运输研究,2016,2(4):62-71,10.基金项目
交通运输部科技项目（2012-364-221-108）；广东省交通运输厅科技项目 （）
