Proposals for the Development of Information Support for the Management of Transport Infrastructure of Moscow

International Journal of Advanced Engineering Research and Applications (IJAERA) Vol. 1, Issue 4, August 2015

7 Pages Posted: 9 Sep 2015

See all articles by Natalia Mamedova

Natalia Mamedova

Plekhanov Russian University of Economics

Marina Fedorova

Moscow State University of Economics, Statistics and Informatics (MESI)

Date Written: September 9, 2015

Abstract

This article presents the results of the study areas of information management system in the management of transport infrastructure of Moscow. As a result of the analysis of the fundamental problems in this area was presented a set of measures to improve the transport situation in the city, in particular, creating innovative data center using cloud technology and storage, information systems support for the scheduling of transportation and modernization work of Intelligent Transport Systems. In accordance with the proposed solutions for the development of an information management system in the management of transport infrastructure of the city of Moscow was proposed feasibility study of managerial decisions. Scientific novelty of the results of the study is to establish a systematic approach to the process of management of the transport infrastructure of the city of Moscow with the help of modern information technology. The practical significance is to identify the objective conditions for the implementation of complex engineering systems to improve the management of transport infrastructure of Moscow.

Keywords: Transport infrastructure, Intelligent transportation system, Data center, Cloud technology

JEL Classification: H50

Suggested Citation

Mamedova, Natalia and Fedorova, Marina, Proposals for the Development of Information Support for the Management of Transport Infrastructure of Moscow (September 9, 2015). International Journal of Advanced Engineering Research and Applications (IJAERA) Vol. 1, Issue 4, August 2015. Available at SSRN: https://ssrn.com/abstract=2657974

Natalia Mamedova (Contact Author)

Plekhanov Russian University of Economics ( email )

Stremyanny lane, 36
Moscow, 117997
Russia

Marina Fedorova

Moscow State University of Economics, Statistics and Informatics (MESI)

Nezhinskaya 7
Moscow, 119501
Russia

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