Impact of optimisation on idle time's fuel consumption and CO2 emissions in urban transportation
by Chaher Alzaman
International Journal of Business Performance and Supply Chain Modelling (IJBPSCM), Vol. 8, No. 2, 2016

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.

Online publication date: Sun, 19-Jun-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Performance and Supply Chain Modelling (IJBPSCM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com