The extensive development of the structures of the automobile-road complex requires optimization of the processes of their integration into the regional and global transport infrastructure. In order to effectively manage unstable traffic flows, automated control systems are developed that use complex algorithms based on the principles of artificial intelligence. The basis of this approach is the concept of transferring the concept of a control object from a generalized or aggregate traffic stream to a separate control element: a separate vehicle, a separate passenger, a separate consignment. The completed management process in the system of the road complex, which meets the current level of development of scientific and technological progress and productive forces, requires the use of digital object-oriented management models based on the creation of a unified communication and computer network for managing information flows as well as the development and application of control models physical objects of movement in the transport network, determining the optimal trajectory of movement of the latter. To form a control system based on object-oriented models, it is necessary to develop specialized analytical methods for multi-criteria evaluation of possible options. It is of fundamental importance that the developed methods can investigate the field of probabilities of changes in informational situations of the environment and are applicable to factors of any degree of uncertainty.

The article is dedicated to the multi agent approach for urban public transport dispatch system to organize priority transfer management, based on interaction with traffic lights control system. The article deals with the issue of urban passenger transport priority transfer of signalized intersections. Priority transfer management algorithm developed by the authors based on interaction of traffic lights control and public transport dispatch systems. The authors considered the role of agents in interaction process of traffic lights control and public transport dispatch systems for implementation of the buses priority passage. Criterion for decision making taking into account savings and loses of time of all participants of traffic at the intersection. The results of simulation modelling of priority public transport passage a signalized intersection are presented

The article is dedicated to the description and discussion of theoretical models that may be used for calculating the level of service indicators for road network. Authors developed the approach for calculating the level of service indicators for urban road network sections with signalized intersections. The core of the proposed models of assessing the level of service is based on the method, developed by American experts for main roads and adapted by the authors for the city roads. The approach to assessing the level of service is based on the advanced analytical model of the fundamental diagram, describing various phases of traffic flow. Herein authors introduce the concept of a laminar traffic flow in the sections of the road network, which is implemented for the level of service calculating.

The suggested model for determining the optimal trajectories of moving consignments that form cargo flows in transport and logistics systems (TLS) is based on a combination of dynamic systems and multi-criteria optimization methods. This approach develops a methodology for solving applied control problems in TLS. Its main result is the principle of finding the maximum, subject to the criterion preferences, based on methods for determining the set of effective plans (Pareto set). At the same time, management in TLS should form models of cargo traffic taking into account the location of transport and storage complexes within the boundaries of the system being studied or designed, as well as should provide for movement of consignments according to specified performance criteria and the most rational trajectories using analytical modeling. Analytics together with digital technologies help to consider the core sense of TLS as of a subsystem of intelligent transport systems.

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