Towards the Digital Platform and Smart Services for Managing Space Traffic

Towards the Digital Platform and Smart Services for Managing Space Traffic

Petr O. Skobelev Oleg I. Lakhin 

Institute for Control of Complex Systems of the Russian Academy of Sciences, Software Engineering Company “Smart Solutions”, Russia.

30 June 2018
| Citation



The objective of the paper is to discuss the increasing complexity of modern space traffic in the near Earth space and outline the new approach for solving the problem. The requirements and functionality of digital platform for traffic management are presented and examples of problem solving are given. The developed approach will create new opportunities for managing space traffic and resources of the mission control centers for a large number of spacecrafts. Possible approaches to description of spacecraft flights are given. Methods and tools for optimizing the use of ground control complexes to manage large-scale orbital groups have been discussed. Creation of the digital platform and eco-system of smart services for space traffic management will solve the most important problem of space traffic management to increase the effectiveness of the created satellites groups and to protect the spacecrafts from space waste and debris.


digital platforms, ground stations, management of conflicts, networks of services, planning and control, real time, satellites, space traffic, spacecrafts.

1. Introduction
2. Increasing Complexity of Traffic Management in The Near- Earth Space: “Space Waste and Debris”, Explosive Increase in The Composition of Satellite Groups, Emergence of Nuclear Power
3. The Network Approach to Spacecraft Flight Control: From Conflicts to Consensus
4. Digital Platform and Eco-System of Smart Services for Advanced Space Traffic Management
5. Conclusion

The paper has been prepared based on the materials of scientific research within the subsidized state task of the Institute for Control of Complex Systems of the Russian Academy of Sciences for research and development on the topic: “Development of models, methods and tools for supporting and developing mechanisms of multi-level self-organization for improving task and resource management in multi-discipline projects of manufacturing complex technical products”.


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