Abstract

Abstract. The use of intelligent technologies within 3D geospatial data analysis and management will decidedly open the door towards efficiency, cost transparency, and on-time schedules in planning processes. Furthermore, the mission of smart cities as a future option of urban development can lead to an environment that provides high-quality life along stable structures. However, neither geospatial information systems nor building information modelling systems seem to be well prepared for this new development. After a review of current approaches and a discussion of their limitations we present our approach on the way to an intelligent platform for the management and analysis of big 3D geospatial data focusing on infrastructure projects such as metro or railway tracks planning. three challenges are presented focusing on the management of big geospatial data with existing geo-database management systems, the integration of heterogeneous data, and the 3D visualization for database query formulation and query results. The approach for the development of a platform for big geospatial data analysis is discussed. Finally, we give an outlook on our future research supporting intelligent 3D city applications in the United Arab Emirates.

Highlights

  • The use of 3D intelligent technologies within planning processes will decidedly lead to efficiency, cost transparency, and on-time schedules

  • Our research is targeted on the development of a smart platform to employ new methodologies that will facilitate interactive and collaborative queries, and at the same time support the fast nature of big geospatial queries and geospatial big data

  • After having presented the state of the art and the limitations of existing approaches to manage and analyse geospatial data, we presented three challenges and our approach on the way to solve the deficits and to develop an intelligent platform for the management and analysis of big 3D geospatial data

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Summary

INTRODUCTION

The use of 3D intelligent technologies within planning processes will decidedly lead to efficiency, cost transparency, and on-time schedules. Different vendors of diverse fields such as IT, energy, and infrastructure provide more and more collaborative solutions to achieve steadily developments for better cities. This procedure leads to multiple systems and the collection of huge data sets, which demand a professional organized data management.

RELATED WORK
LIMITATIONS AND ISSUES
First challenge
Second challenge
Third Challenge
FIRST STEPS OF OUR APPROACH
Data integration and 3D visualization
Intelligent platform for data analysis
CONCLUSIONS AND OUTLOOK
Full Text
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