UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 8
August-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1708018


Registration ID:
170565

Page Number

80-82

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Title

An optimization model to determine the absolute capacity of Railway networks

Abstract

Railway’s limited infrastructure and continuous growth in passenger and freight demand worldwide creates a need for efficient utilization of railroad capacity. So, for this, it is important to know the actual traffic that can run over the railway lines. In this paper, an optimization model for estimating absolute capacity over defined infrastructural and operational conditions is developed. The inputs of the model are line attributes, proportional and directional distributions of train types and average velocity. A case study illustrates the fitness of the model. The model is suitable for the planning of new railway lines.

Key Words

Capacity, Railways, Optimization, Networks

Cite This Article

"An optimization model to determine the absolute capacity of Railway networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 8, page no.80-82, August-2017, Available :http://www.jetir.org/papers/JETIR1708018.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An optimization model to determine the absolute capacity of Railway networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 8, page no. pp80-82, August-2017, Available at : http://www.jetir.org/papers/JETIR1708018.pdf

Publication Details

Published Paper ID: JETIR1708018
Registration ID: 170565
Published In: Volume 4 | Issue 8 | Year August-2017
DOI (Digital Object Identifier): http://doi.one/10.1717/JETIR.17022
Page No: 80-82
Country: JAIPUR, RAJASTHAN, India .
Area: Engineering
ISSN Number: 2349-5162


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