The main feature of the new system is the presence of components that allow not only to algorithmize the execution of processes, but also to offer their optimal implementation in terms of minimizing the operating costs of transportation in general. For these purposes, it is planned to build a single database of all operational work resources, network bandwidth with the most detailed sections and their economic and technical characteristics, the possibility of combining adjacent sections for calculations, as well as reporting on any polygons. The automated transportation operational management system consolidates all information flows related to transportation management and is an integration platform for planning and managing processes, their operational control and reporting.
The modern means of development and operation of an Automated Control System, including open-source software, used in the modernization of an Automated Transportation Operational Management System, provide a significant increase in the performance and fault tolerance of the system, as well as reduce the cost of ownership and eliminate dependence on foreign suppliers. Thus, in addition to solving business problems, the architecture of the Automated Management System and its maintenance technology are simplified, equipment and license costs are reduced, and the groundwork for solving promising tasks is provided.
Due to the common methodological basis and a single base of normative and reference information, it was possible to ensure strict mutual alignment of various parameters and constraints of operational work – the throughput and carrying capacity of sections and stations, the cost of transportation, the duration and number of “windows”, the availability of traction rolling stock and crews, wagons, formation plan, etc. – and perform calculations both for the network as a whole and for any of its polygons with flexibly changing boundary conditions and optimization criteria.
Currently, the model calculates the optimal passage of car traffic at the specified values of transportation volumes, throughput and processing capacities and unit cost. The skipping of all correspondence specified by the plan is simulated, with the minimum cost of their transportation over the network. In the event of situations when car traffic exceeding its capacity is sent to the site, the model offers such options for bypassing bottlenecks that provide the minimum possible cumulative additional costs.