DocumentCode
154469
Title
Novel ITS based on Space-Air-Ground collected big-data
Author
Gang Xiong ; Fenghua Zhu ; Haisheng Fan ; Xisong Dong ; Wenwen Kang ; Teng Teng
Author_Institution
Qingdao Acad. of Intell. Ind., Qingdao, China
fYear
2014
fDate
8-11 Oct. 2014
Firstpage
1509
Lastpage
1514
Abstract
Based on the big-data collected from Space-Air-Ground, novel ITS (Intelligent Transportation System) is researched, including key technologies such as sensor data acquisition, dynamic data transmission, mass data storage, multi-source data fusion, data mining & analysis etc. On this basis, novel intelligent transportation cloud platform is designed, which includes Space-Air-Ground big-data acquisition & transmission sub-system, cloud computing supporting platform, intelligent transportation application & service sub-system. With the help of the data visualization, data prediction, and decision making, the whole big-data including people (passenger, driver), car, road traffic environment, can create the core values. To provide transportation data services for enterprise users and business users, such as customized mining, and specific industry analysis; To provide accurate transportation information services for the public; To provide business model for all levels of users, such as data visualization and customizing service.
Keywords
Big Data; cloud computing; data acquisition; data visualisation; decision making; intelligent transportation systems; ITS; cloud computing supporting platform; data prediction; data visualization; decision making; intelligent transportation application & service subsystem; intelligent transportation system; space-air-ground big-data acquisition & transmission sub-system; transportation data services; transportation information services; Cloud computing; Data mining; Data models; Remote sensing; Roads; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ITSC.2014.6957647
Filename
6957647
Link To Document