Title :
Applying floating car data in traffic monitoring
Author :
Wang Tiedong ; Hu Jingjing
Author_Institution :
Army Officer Acad. of PLA, Hefei, China
Abstract :
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%.
Keywords :
Internet; data warehouses; road safety; road traffic; sensor fusion; traffic engineering computing; FCD; GPS; Web-based data mart; floating car data fusion method; road safety information services; traffic monitoring; urban road networks; Cities and towns; Global Positioning System; Roads; Sensors; Vehicles; FCD; GPS; Traffic analysis;
Conference_Titel :
Control Science and Systems Engineering (CCSSE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-6396-6
DOI :
10.1109/CCSSE.2014.7224516