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Decision-Making Optimisation in Traffic Control Management

https://doi.org/10.30932/1992-3252-2021-19-280-283

Abstract

The book under review examines the historical milestones in development of railway transport in the Russian Federation, analyses its rise and main directions of development in the forthcoming period and up to 2030. The authors propose preferable models and methods for decision- making regarding traffic control at the level of stations and sections, describe optimal management decision-making regarding wagon fleet and technology of train and cargo operation, methods and algorithms for decision-making referring to management of locomotive fleet and locomotive crews. Heuristic methods and algorithms for decision-making while solving the problems of forecasting and standardisation of train and cargo operation are studied regarding railway and network dispatching. Methods and models of decision-making ensuring an increase in railway safety are also examined. The examples concern efficient models of decision-making in traffic controlling in the context of network technologies and methods for assessing the economic efficiency of decision-making based on development of intelligent and digital technology.

About the Author

V. A. Sharov
Russian University of Transport
Russian Federation

Sharov, Victor A. – D.Sc. (Eng), Professor

Moscow



Review

For citations:


Sharov V.A. Decision-Making Optimisation in Traffic Control Management. World of Transport and Transportation. 2021;19(1):280-283. https://doi.org/10.30932/1992-3252-2021-19-280-283

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ISSN 1992-3252 (Print)