Reliable stochastic design of road network systems

Dimitriou, L; Stathopoulos, A; Tsekeris, T

dc.contributor.author	Dimitriou, L	en
dc.contributor.author	Stathopoulos, A	en
dc.contributor.author	Tsekeris, T	en
dc.date.accessioned	2014-03-01T01:29:05Z
dc.date.available	2014-03-01T01:29:05Z
dc.date.issued	2008	en
dc.identifier.issn	17485037	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19119
dc.subject	Genetic algorithms	en
dc.subject	Monte Carlo simulation	en
dc.subject	Network design	en
dc.subject	Stackelberg game	en
dc.subject	Stochastic system modelling	en
dc.subject	Systems reliability	en
dc.subject	Transportation systems	en
dc.subject.other	Computational complexity	en
dc.subject.other	Computer simulation	en
dc.subject.other	Estimation	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Monte Carlo methods	en
dc.subject.other	Reliability	en
dc.subject.other	Transportation	en
dc.subject.other	Network Design Problem (NDP)	en
dc.subject.other	Stackelberg game	en
dc.subject.other	Stochastic bi-level programming	en
dc.subject.other	Systems engineering	en
dc.title	Reliable stochastic design of road network systems	en
heal.type	journalArticle	en
heal.identifier.primary	10.1504/IJISE.2008.018232	en
heal.identifier.secondary	http://dx.doi.org/10.1504/IJISE.2008.018232	en
heal.publicationDate	2008	en
heal.abstract	This paper investigates the continuous version of the stochastic Network Design Problem (NDP) with reliability requirements. The problem is considered as a two-stage Stackelberg game with complete information and is formulated as a stochastic bi-level programming problem, which is extended to include reliability as well as physical and budget constraints. The estimation procedure combines the use of Monte Carlo simulation for modelling the stochastic nature of the system variables with a Genetic Algorithm (GA), for treating the complexity of this new formulation. The computational experience obtained from a test road network application demonstrates the ability of the proposed methodology to address the need for incorporating reliability requirements and stochasticity into the various system components in the design process. The results can provide useful insight into the evaluation of alternative reliable network capacity improvement plans under the effect of uncertainty on the demand, supply and route choice process of travellers. © 2008, Inderscience Publishers.	en
heal.journalName	International Journal of Industrial and Systems Engineering	en
dc.identifier.doi	10.1504/IJISE.2008.018232	en
dc.identifier.volume	3	en
dc.identifier.issue	5	en
dc.identifier.spage	549	en
dc.identifier.epage	574	en