Applying Floating Car Data in Traffic Monitoring

被引：0

作者：

Wang Tiedong ^{[1
]}

Hu Jingjing ^{[1
]}

机构：

[1] Army Officer Acad PLA, Hefei, Anhui, Peoples R China

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING | 2014年

关键词：

FCD; GPS; Traffic analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new data fusion method has been developed which theoretically provides relevant information about traffic states at all crucial locations of urban road networks. This mainly based on Floating Car Data(FCD). FCD based on the collection of localisation data, speed, direction of travel and time information from GPS in vehicles that are being driven. The scope of the project is to development and creation of a Web-based data mart for the collection of FCD. The aim of this traffic management is to improve traffic flows by promoting more efficient use of the capacity of existing road infrastructure and transportation networks. For high quality traffic and safety information services, floating car data are essential to generate content. This system coverage is up to 80% and the accuracy of the information can reach more than 85%.

引用

页码：96 / 99

页数：4

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