Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ITSC.2014.6957647 | ITSC |
Keywords | Field | DocType |
big data,cloud computing,data acquisition,data visualisation,decision making,intelligent transportation systems,its,cloud computing supporting platform,data prediction,data visualization,intelligent transportation application & service subsystem,intelligent transportation system,space-air-ground big-data acquisition & transmission sub-system,transportation data services,transportation information services,data mining,data analysis,remote sensing | Data mining,Data visualization,Advanced Traffic Management System,Simulation,Dynamic data,Engineering,Intelligent transportation system,Data virtualization,Big data,Data as a service,Database,Cloud computing | Conference |
Citations | PageRank | References |
1 | 0.35 | 14 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gang Xiong | 1 | 299 | 92.20 |
| Fenghua Zhu | 2 | 193 | 33.75 |
| haisheng fan | 3 | 7 | 0.99 |
| Xisong Dong | 4 | 47 | 13.05 |
| wenwen kang | 5 | 8 | 1.70 |
| teng teng | 6 | 1 | 0.35 |