A robust approach to continuous network designs with demand uncertainty.

Author(s)
Yafeng, Y.I.N. & Lawphongpanich, S.
Year
Abstract

A robust optimization approach is used to solve a continuous network design problem with demand uncertainty. It is assumed that travel demands belong to a convex and compact uncertainty set instead of having them follow some probability distributions and traffic flows on the underlying network.For a given demand realization, the problem reduces to a mathematical program with equilibrium constraints. The algorithm that is proposed for the problem converges under certain conditions. However, numerical results using tow networks from the literature empirically demonstrate that the algorithm is effective and has the potential to solve realistic problems. For the covering abstract see ITRD E144727. Reprinted with permission of Elsevier.

Request publication

3 + 12 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
C 48405 (In: C 48400) /21 /72 / ITRD E144886
Source

In: Transportation and traffic theory 2007 : papers selected for presentation at the 17th International Symposium on Transportation and Traffic Theory (ISTTT17), held at the Institution of Mechanical Engineers, London, UK from July 23 - 25, 2007, p. 111-126, 26 ref.

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.