The article is devoted to the creation of a highly specialized automated information system for recording the parameters of the technological process of production of an industrial enterprise. The development of such software products will simplify and speed up the work of technologists and reduce the influence of the human factor in collecting and processing data.

Keywords: automated information system, system for recording production process parameters, Rammler-Breich diagram, role-based data access system

The article is dedicated to the development of an automated system aimed at creating a program of works for the maintenance of road surfaces. The system is based on data from the diagnostics and assessment of the technical condition of roads, in particular data on the assessment of the International Roughness Index (IRI). The development of a program of works for the maintenance of road surfaces is carried out based on the analysis of the IRI assessment both in the short term and on the time horizon of the contractor's work under the contract. The system is developed on the principle of modular programming, where one of the modules uses polynomial regression to predict the IRI assessment for several years ahead. The analysis of the deviation of the predicted IRI value from the actual one is the basis for the selection of works included in the program. The financial module allows the system to comply with the budget framework limited by the contract and provides an opportunity to evaluate the effectiveness of planning by calculating the difference between the cost of road surface maintenance and the contract value. Practical studies demonstrate that the system is capable of effectively and efficiently planning road surface maintenance works in accordance with the established contract deadlines.

Keywords: road surface, automated system, modular programming, machine learning, recurrent neural network, road condition, international roughness index, road diagnostics, road work planning, road work program

One of the key directions in the development of intelligent transport networks (ITS) is the introduction of automated traffic management systems. In the context of these systems, special attention is paid to the effective management of traffic lights, which are an important element of automated traffic management systems. The article is devoted to the development of an automated system aimed at compiling an optimal program of traffic light signals on a certain section of the road network. The Simulation of Urban Mobility (SUMO) traffic modeling package was chosen as a modeling tool, BFGS (Broyden-Fletcher-Goldfarb-Shanno) optimization algorithm was used, gradient boosting was used as a machine learning method. The results of practical research show that the developed system is able to quickly and effectively optimize the parameters of phases and duration of traffic light cycles, which significantly improves traffic management on the corresponding section of the road network.

Keywords: intelligent transport network, traffic management, machine learning, traffic jam, traffic light, phase of the traffic light cycle, traffic flow, modeling of the road network, python, simulation of urban mobility

A comprehensive automated system for monitoring the formation, transportation, processing and disposal of liquid production and consumption waste in the region is proposed. The system developed by the authors allows, on a unified information basis, to unite carriers of liquid waste, places of their generation, reception and disposal. The article discusses in detail the software for an automated station for receiving and neutralizing liquid waste, as well as a web-shell that allows digitalizing objects of communal infrastructure, on the territory of which activities for processing, neutralizing, and disposing of liquid waste are carried out. The tools and technologies used in the development of the automated system are indicated. In the final part of the work, the software for routing the transportation of liquid waste is presented and the mobile applications of carriers and waste generators for interaction between the system and its client applications are described.

Keywords: automated system, management, liquid waste, production, consumption, disposal

In this paper, the authors present a method for estimating the longitudinal adhesion coefficient of motor vehicles with road covering on approaches to level crossings. A feature of the technique is the possibility of using as input data in assessing the coupling qualities of road pavements, a large number of variables characterizing both moving vehicles and road paving combined with weather and climate factors. A multi-factor assessment of the adhesion coefficient at approaches to level crossings contributes to the improvement of traffic safety at railroad crossings as part of the development of a road maintenance management system

Keywords: adhesion coefficient, level crossing, road maintenance, fuzzy decision tree

The problem of restoring gaps in socio-economic data. Used konnektivistskie principles describe multilevel relationships between socio-economic targets for restoring missing data. Proposed fuzzy method of filling gaps in the data socio-economic parameters based on the analysis and formalization in terms of fuzzy logic relationships between the parameters of the same type in other network objects. To justify the effectiveness of an example implementation of the method on data from rural areas of the Volgograd region.
Keywords: socio-economic parameters, gaps in data, fuzzy logic, data recovery.

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Information about authors of issue №4 (2011)

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