Baoyun Zhang
Chinese Academy of Sciences
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Baoyun Zhang.
ieee/acm international symposium cluster, cloud and grid computing | 2015
Xiaoming Li; Zhihan Lv; Jinxing Hu; Baoyun Zhang; Ling Yin; Chen Zhong; Weixi Wang; Shengzhong Feng
This paper takes Shenzhen Fustian comprehensive transportation junction as the case, and makes use of continuous multiple real-time dynamic traffic information to carry out monitoring and analysis on spatial and temporal distribution of passenger flow under different means of transportation and service capacity of junction from multi-dimensional space-time perspectives such as different period and special period. Virtual reality geographic information system is employed to present the forecasting result.
computational intelligence | 2015
Xiaoming Li; Zhihan Lv; Jinxing Hu; Baoyun Zhang; LingYan Shi; Shengzhong Feng
A 3D Shenzhen city web platform based on WE-BVRGIS is presented. A 3D globe browser is employed to load all kinds of demanded data of the city, such as 3D building model data, residents information, real-time and historical traffic data. Using these data, the 3D analysis and visualization of the concerned city massive information are conducted in the platform. All the presented functions of the platform are extracted from the practical customer demand. The system design has considered some existing Geographic human-computer interaction (GeoHCI) research results.
Advances in Engineering Software | 2016
Xiaoming Li; Zhihan Lv; Weixi Wang; Baoyun Zhang; Jinxing Hu; Ling Yin; Shengzhong Feng
Abstract With several characteristics, such as large scale, diverse predictability and timeliness, the city traffic data falls in the range of definition of Big Data. A Virtual Reality GIS based traffic analysis and visualization system is proposed as a promising and inspiring approach to manage and develop traffic big data. In addition to the basic GIS interaction functions, the proposed system also includes some intelligent visual analysis and forecasting functions. The passenger flow forecasting algorithm is introduced in detail.
eurographics | 2015
Zhihan Lv; Xiaoming Li; Baoyun Zhang; Weixi Wang; Shengzhong Feng; Jinxing Hu
A big city visual analysis platform based on Web Virtual Reality Geographical Information System (WEBVRGIS) is presented. Extensive model editing functions and spatial analysis functions are available, including terrain analysis, spatial analysis, sunlight analysis, traffic analysis, population analysis and community analysis.
international conference on neural information processing | 2015
Weixi Wang; Zhihan Lv; Xiaoming Li; Weiping Xu; Baoyun Zhang; Xiaolei Zhang
The proposed platform supports the integrated VRGIS functions including 3D spatial analysis functions, 3D visualization for spatial process and serves for 3D globe and digital city. The 3D analysis and visualization of the concerned city massive information are conducted in the platform. The amount of information that can be visualized with this platform is overwhelming, and the GIS-based navigational scheme allows to have great flexibility to access the different available data sources.
computational intelligence | 2015
Zhihan Lv; Xiaoming Li; Jinxing Hu; Ling Yin; Baoyun Zhang; Shengzhong Feng
There are lacks of integrated analysis and visual display of multiple real-time dynamic traffic information. This research proposed a deep research and application examples on this basis which is conducted in virtual geographic environment. Currently, there are many kinds of traffic passenger flow forecasting models, and the common models include regression forecasting model and time series prediction model. The coach passenger flow shows strong regularity and stability without long-term change trend, so this research adopts regression forecasting model to forecast the coach passenger flow.
Future Generation Computer Systems | 2018
Zhihan Lv; Xiaoming Li; Weixi Wang; Baoyun Zhang; Jinxing Hu; Shengzhong Feng
Abstract Using a 3D geographical information system (GIS) and cloud computing, a new government affairs service platform is presented. To manage and use the city’s data efficiently, the 3D analysis and visualization of the city’s information are held on the platform of the smart city. With the new platform, a series of e-government services can be conducted to manage the makers and operation supervisors in the government agencies and other smart city industries, such as urban disaster and environmental protection, intelligent transportation, monitoring and evaluation of the urban resource centers. All services presented on the platform are extracted from the government departments’ practical demand.
Neurocomputing | 2018
Weixi Wang; Zhihan Lv; Xiaoming Li; Weiping Xu; Baoyun Zhang; Yuanyuan Zhu; Yan Yan
Abstract A virtual reality GIS analysis platform based on spatial query is proposed in this paper. The proposed platform serves 3D digital city and supports integrated VRGIS functions including 3D spatial analysis functions and 3D visualization functions for spatial process. The 3D analysis and visualization of the concerned city massive information are conducted on the platform. The amount of information that can be visualized through this platform is overwhelming, and the GIS-based navigational scheme allows great flexibility in accessing different available data sources. A multi-level mixed three-dimensional space index is built for the virtual scene. Multi-task parallel scheduling and pre-scheduling algorithms are designed to support the distribution and query of spatial data. Experiment result indicates that the designed query algorithm improves the performance of the proposed system.
IEEE Access | 2016
Zhihan Lv; Xiaoming Li; Baoyun Zhang; Weixi Wang; Yuanyuan Zhu; Jinxing Hu; Shengzhong Feng
arXiv: Human-Computer Interaction | 2015
Xiaoming Li; Zhihan Lv; Baoyun Zhang; Weixi Wang; Shengzhong Feng; Jinxing Hu
Collaboration
Dive into the Baoyun Zhang's collaboration.
Ministry of Land and Resources of the People's Republic of China
View shared research outputsMinistry of Land and Resources of the People's Republic of China
View shared research outputs