AN INNOVATION DEVELOPMENT IN COMPLEX RAILWAY MANAGEMENT USING TRANSPORT DEEP LEARNING MODEL
Abstract
At present, the railway administration is lagging behind in promoting innovative solutions to deal with complex transport systems. Nevertheless, passenger coverage is expanding here, for which electronic tickets are available. The principle of centralized development allows IT systems to operate in such difficult situations where critical processes such as online booking, ticket purchase are transitioning to deep learning. Model road system development and its centralized transformation as part of product development and further replication in the field are key to success and successful implementation. In this paper, an innovation development in complex railway management was proposed using transport deep learning model. The proposed system consists of numerous systems that manage various aspects of its operations, including passenger and freight transport management, planning transport and technical resources. All data from external systems are integrated into a single automated information system using developed interfaces. Modernization of communication and tele mechanics systems used in railway transport is one of the ways to significantly increase the intensity and safety of railway transport.

Authors
R. Vilasini, M. Sutharsan
Muthayammal Engineering College, India

Keywords
Railway, Innovative, Administration, Transport, Tickets, Deep Learning, Modernization
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Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 4 , Issue: 1 , Pages: 393 - 396 )
Date of Publication :
December 2022
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98
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