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.
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”.
 Lobachev, V.I. & Pochukaev, V.N., “Methods of testing rocket and space equipment”, Mechanical Engineering, 1995. Section “Means of flight control of scientific and manned space vehicles”.
 Matyushin, M.M., Sokolov, N.L. & Zakharov, P.A., Features of control of large-scale groups of space vehicles. Problems of Control and Modeling in Complex Systems, 2016.
 Stepanov, I.B. & Pavlova, S.A., Events in near-Earth space // TsNIIMash, Information and Analytical Support of ASPOS OKP (automated warning system for dangerous situations in the near-Earth space). The Main Information and Analytical Center of ASPOS OKP, 9(76), 48 p.
 Udaloy, V.A. & Sokolov, N.L., On the possibility of mathematical formalization of the functioning processes of the Mission Control Center as a large control system. Modern Science-Intensive Technologies, 2006.
 Matyushin, M.M., Sokolov, N.L. & Ovechko, V.M., Methodological approaches to solving problems of managing large-scale groups. Engineering Journal: Science and Innovation, 51, 2016.
 Matyushin, M.M., Potockiy, S.I., Skobelev, P.O., Potapov, V.I. & Lakhin, O.I.,
Automated decision-support system for emergency situations. Software Products and Systems, (3), pp. 62–69, 2013.
 Matyushin, M.M., Sokolov, N.L., Ovechko, V.M. & Polivnikov, V.M., Designing rational schemes for distribution of control means during operation of large-scale orbital groups of space vehicles. Flight. All-Russian Scientific and Technical Journal, 2016.
 Rzevski, G. & Skobelev, P., Managing Complexity. Southampton, Boston, WIT Press, 2014.
 Skobelev, P.O., Lakhin, O.I., Polnikov, A.S. & Simonova, E.V., Approach to the solution of aerospace product lifecycle management problem based on network-centric principles. Proceedings of the 7th International Conference on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS’2015), eds. V. Marik, J.I. et al., , Valencia, Spain. – HoloMas 2015, pp. 169–178, September 2–4, 2015.
 Digital ecosystem, avialbale at https://en.wikipedia.org/wiki/Digital_ecosystem (accessed 18 March, 2018).
 Skobelev, P., Multi-agent systems for real time adaptive resource management. Industrial Agents: Emerging Applications of Software Agents .in Industry, ed. Paulo Leitão & Stamatis Karnouskos. Elsevier, pp. 207–230, 2015.
 Skobelev, P., Activity ontology for situational management of enterprises in real-time. Ontology of Designing, 1(3), pp. 6–38, 2012.