The article analyses the technological process of transportation process organization and its control in different systems of urban agglomeration rapid-transit transport. It is presented the generalization of organization technological schemes of transportation process at the compilation of normative documents-schedules of: train traffic, rolling stock turnover, work of locomotive teams. Common features, allowing to share automation and digitization positive experience from one transport systems to another, are revealed. As a typical example for urban agglomeration rapid-transit transport, the work of Moscow Central Ring in data flow diagram notation is considered. It has been shown that the conditions of traffic planning on Moscow Central Ring are analogous to active ones on the subway ring lines. As generalizing notions, there are: mixing, non-parallelism, zoning, non-autonomy. Corresponding illustrative examples are given. Congested experience in the sphere of control automation for transportation process of rapid-transit transport of urban agglomeration is considered on the examples of railway section Nizhniy Novgorod – Uren’ as well as Kaluzhsko-Rizhskaya line of Moscow subway (electrodepots “Kaluzhskoye” and “Sviblovo”). The article describes initial data sets for to perform train traffic schedule, the purpose of its performance has been formulated, limitations, reflecting the links between objects, inside the set of given resources, and limitations, being defined by rules of passenger service, have been revealed. Analysis, pursued in the article, has shown the perspective directions of automated transport systems development on knowledge accumulated bases. As a result of the application of complex approach to the solution of automated control tasks at the use of artificial intelligence technologies and big databases usage, it’s planned to increase the efficiency usage for given resources set, train traffic schedule implementation percentage and others; to reduce information transfer error number as well as those, appeared as a result of negative human factor influence and so on.
The article discusses generalized approaches used in designing information support for intelligent transportation systems, based on the example of a train dispatcher simulator and an automated system for building schedules of passenger trains movement in the Moscow Metro as interrelated systems within a unified technological process of organizing the movement of rolling stock along the lines of the Moscow metro, Moscow Central Circle, Moscow Central Diameters, and the city’s tram network. The article analyzes the existing systems developed by the team of the “Management and Protection of Information” department at the Russian University of Transport (MIIT) for the State Unitary Enterprise “Moscow Metro”, an integral part of which are information systems. Common properties of the systems are identified for information support, and a classification of tables serving as the basis for implementing urban rail transport management systems is proposed. The article lists the properties that the designed information support of the intelligent transport system must possess, and proposes a methodology for its construction. The article presents the structures and functional features of information systems used for building an intelligent transportation system, including the content of databases that serve as a link between the upper interface and lower technical levels. The selection of the database management system is also justified.
The article investigates the possibility to apply genetic algorithms at automation of planned schedules compilation for subway passenger train traffic. Research main goal – to improve automated system of planned schedule compilation for passenger trains for to provide for processes evenness at the use of various resources and consideration of existing limitations. Necessary definitions of resources and limitations on conditions of genetic algorithm usage are narrowed down to interconnected and unified tables. On probability approach basis, the influence of various combinations of genetic algorithm parameter values on population compositions in the process of search for effective results of transportation process planning for urban rail transport system has been studied. For investigation needs, computer software has been performed on high-level languages C# and Python. Genetic algorithm adaptation to the solution of the task for compilation automation of planned schedule of subway passenger train traffic has been made and there has been shown the algorithm applicability to automation of the complex of interconnected tasks for the transportation process planning: electric rolling stock turnout schedule compilation and locomotive team work schedule. There have been calculated probability values to get favorable outcome – the presence of all possible allele values at various combinations of the values of primary population size and allele needed quantity in the results of train traffic planned schedules.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.