An agent-based framework for designing competitive transportation systems
by Loukas Dimitriou, Antony Stathopoulos
International Journal of Industrial and Systems Engineering (IJISE), Vol. 7, No. 1, 2011

Abstract: This paper deals with the case of programming the development of future transportation systems by identifying inter-dependencies among competitors. Here, a market of maritime facilities is modelled as an n-person non-cooperative game among port authorities that promote the attractiveness of their terminal facilities, in terms of level of service provided. At the same time, freight shippers/carriers who are forming their service network based on the prevailing conditions offered by the available transportation paths are also modelled in the context of a non-cooperative game. Optimal decisions are obtained by extending the standard single leader–multiple followers Stackelberg game-theoretic formulation of the network design problem (NDP) to its complete form of multiple leaders–multiple followers competitive NDP. The estimation of the equilibrium point of the above complex transportation system is based on a novel evolutionary optimisation framework. Results from alternative design strategies are presented revealing the effects of competition and cooperation on systems design.

Online publication date: Sat, 31-Jan-2015

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 Industrial and Systems Engineering (IJISE):
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