FORMING A DATA EXCHANGE NETWORK BETWEEN MOBILE DEVICES FOR THE REDISTRIBUTION OF TRANSPORT FLOWS O.E. Fedorovich, Sc. D. professor; M. V. Ivanov, assistant; V.A. Pyudenko, assistant National Aerospace University named after N.E. Zhukovsky "KhAI"
Logistical optimization of transport flows carries not only the optimization of resources (maintenance, fuel), but also a functional optimization (optimization of transport routes). Review of the problem on the local level, this does not lead to its solution; therefore, this task must be globalized. The wide spread of mobile devices (telephones, navigators, etc.) and combming them into a proper network will predict the movement of vehicles and make routes recalculation to achieve more optimal traffic. Consider the basic elements of behavior models of movement we can say that they are based on animals swarm because of there simplicity otherwise these rules are applied to the actions of the crowds. The best way to describe the motion of large masses of swarm organisms is the mathematical apparatus of hydrodynamics - statistical macro model. The basic behavior models of movement can be divided on the next: the insects' models of movement (ant algorithm, the locusts model of movement, the movement of the crickets); general mechanisms of swarming (an animal swarm can be treated as a single unit), a crowd of people (to stay with the group or individually move in the chosen direction); formal methods (move towards die target; the movement in the direction of the center of mass of its neighbors; support for the minimum distance between each other and obstacles) One of the models that describe die locally interacting mobile devises organization is static swarm. It is characterized by the absence of a given control center and is some kind of a fixed network - a set of agents. The basic properties of static swarm are: activity (ability of a agents network to receive the environment signals as well as the commission of some (moving) functions that affects on the outside world), local interactions (agents only communicate with their neighbors) and functional heterogeneity (differentiation of agents performed functions). Principle of roles distribution can be based on the following: a network node (agent) having the maximum number of connections becomes a contender for the rote of the control center. His entourage - analyzers of information for preparing its decision. Nodes located on the periphery of the network responsible for collecting information. The report identifies the necessary steps to develop a system which in future wil bdp to optimize traffic flows within the city to provide optimal solutions of foe transportation problem.