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The article is devoted to the development of methods infolohichnoho modeling and simulation polierhatychnoho documentary describing the test bearing properties nanomaterials that determine the endurance and technological resources mixtures structural components pavement layers in terms the variety effects to cover non-stationary environment and traffic. Formalized mathematical description models and methods necessary for the system CM-PD as hardware and software testing technology polierhatychnoho structure formation nanomaterials under technical and technological orders endurance performance evaluation and resource material layers work surfaces for safe movement traffic forecasting. The peculiarities the modes interaction and the language simulation ergatic modeling for the search rational technologies creation road materials are substantiated. The proposed analytical tools aimed at forming the structure silicon-carbon polymers and composites with expected force-moment and mass-energy physicochemical properties to counteract the effects heterogeneous factors non-stationary environment. The method infological modeling processes for providing conditions for the purposeful between atomic and molecular interactions in the limited local spatial volumes is developed. Formalized parametrization of mutual functions distribution concentrations, pressure and temperatures, which jointly accelerates the stage thermodynamic self-organization and controlledly form the domain-granular structures substances artificial structural materials (SCM) road cover. The information analytical tools the KM-PD system provide the reliability the estimates endurance interval, mechanical strength, integrated resource, obtained by the methods simulation the MSC and in general, KSSSDO. Mixtures substances withstand similar effects from environmental factors and respond equally to microphase spatial separation compatible component components. The maximum levels energy efficiency ordered load bearing coverings are the achievement for the operation the transport and road complex with non-stationary flows moving objects on the surfaces the future ITS infrastructure provided by the agreed levels multiple heterogeneous interactions. KEY WORDS: THERMODYNAMIC SYNTHESIS, FORMATION OF NANOSTRUCTURES, DOCUMENTARIES DECISION, INFORMATION TECHNOLOGY, INFOLOHICHNE MODELING, CARRYING LAYERS TRANSPORT INTERACTION CRITERION SIMILARITY SECURITY RESOURCE SPACE SELF-ORGANIZATION.

The ways to find the ways of solving the problem of optimal service for unmanned aerial vehicles in the conditions of vehicle shortage are explored.In the study of theory of optimal control and discrete optimization insufficiently explored the problem of optimal graph coverage by the chains of a fixed pattern with the help of a description system of ordinary differential equations.With the help of the graph theory investigated the optimization problem of the «Upper Cover» for unmanned aerial vehicles service in the conditions of vehicle shortage has been solved.Study of the problem relates to the mathematical dependence of transport systems. It can be used for determination of the optimal ratio between the amount of Unmanned Aerial Vehicles and fuel (electricity) reserves used by the Unmanned Aerial Vehicles. The method of solving the problem of determining the weight of the arcs of the graph and the problem of constructing a chain is based on that dependence. Part of the problem is the task of docking. The combinatorial task of choosing a set of stations for servicing points of the initial unmanned aerial vehicles dislocation is based on the dependence mentioned. Effective method for solving the problem of optimal coverage of a graph for supply chains with constraints is developed on the bases of the dependence.The proposed research methods can significantly reduce the cost of delivery of urgent goods using unmanned aerial vehicles. Perspective of further researches is studying of mathematical model of optimal servicing the delivery areas in the conditions of the lack of UAV. The constraints for practical purposes must have a group-theoretical approach to solving optimization problems and be reduced for the constructing an optimal cost matrix analysis. Algebraic approach is used, when there is a need in solving a large set of similar types of optimization problems with different constraints in the right hand side only.It is possible to apply a heuristic algorithm for solving the problem of optimal UAV service. The problem means optimal coverage of a special graph with chains with restriction on the chain length.