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Impact of optimisation on idle time's fuel consumption and CO 2 emissions in urban transportation

Impact of optimisation on idle time's fuel consumption and CO 2 emissions in urban transportation There is ample innovation ensuing in the domain of automated transport and vehicle information and communication systems. This is especially the case in urban transport where idle driving is a significant factor. This work examines the benefits, of reducing idle driving, to be achieved if the ability of routing vehicles (or advising drivers of optimal routes) is acquired via the use of real-time information. This work approximates this real-time environment by an optimal network. The goal of this work is to assess the impact of optimisation on a given supply chain transportation network by contrasting optimal solutions to non-optimal solutions. The optimal solutions would be the result of mathematically programming a given supply chain network and then comparing it to the null case. The overall model is probabilistic one, where statistical distributions are used to generate numerous instances. The outcome of the work would be the presentation of numerical values that emphasise how much an optimal system would render in terms fuel consumption and CO2 emission avoidances. Keywords: sustainable supply chain modelling; supply chain network design; simulation; transportation; idle time; vehicle automated systems. Reference to this paper should be made as follows: Alzaman, C. (2016) `Impact of optimisation http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

Impact of optimisation on idle time's fuel consumption and CO 2 emissions in urban transportation

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Publisher
Inderscience Publishers
Copyright
Copyright © 2016 Inderscience Enterprises Ltd.
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2016.077167
Publisher site
See Article on Publisher Site

Abstract

There is ample innovation ensuing in the domain of automated transport and vehicle information and communication systems. This is especially the case in urban transport where idle driving is a significant factor. This work examines the benefits, of reducing idle driving, to be achieved if the ability of routing vehicles (or advising drivers of optimal routes) is acquired via the use of real-time information. This work approximates this real-time environment by an optimal network. The goal of this work is to assess the impact of optimisation on a given supply chain transportation network by contrasting optimal solutions to non-optimal solutions. The optimal solutions would be the result of mathematically programming a given supply chain network and then comparing it to the null case. The overall model is probabilistic one, where statistical distributions are used to generate numerous instances. The outcome of the work would be the presentation of numerical values that emphasise how much an optimal system would render in terms fuel consumption and CO2 emission avoidances. Keywords: sustainable supply chain modelling; supply chain network design; simulation; transportation; idle time; vehicle automated systems. Reference to this paper should be made as follows: Alzaman, C. (2016) `Impact of optimisation

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2016

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