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    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis Group in Optimization Methods and Software on 03/06/2015, available online: http://www.tandfonline.com/10.1080/10556788.2015.1047018

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Numerical stability of path-based algorithms for traffic assignment

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<mark>Journal publication date</mark>01/2016
<mark>Journal</mark>Optimization Methods and Software
Issue number1
Volume31
Number of pages15
Pages (from-to)53-67
Publication StatusPublished
Early online date3/06/15
<mark>Original language</mark>English

Abstract

In this paper we study numerical stability of path-based algorithms for the traffic assignment problem. This type of methods are based on decomposition of the original problem into smaller sub-problems which are optimised sequentially. Previously, path-based algorithms were numerically tested only in the setting of moderate requirements to the level of solution precision. In this study we analyse convergence of these methods when convergence measure
approaches machine epsilon of IEEE double precision format. In particular, we demonstrate that the straightforward implementation of one of the algorithms of this group (projected gradient) suffers from loss of precision and is not able to converge to highly precise solution. We propose a way to solve this problem and test the proposed fixed version of the algorithm on various benchmark instances.

Bibliographic note

This is an Accepted Manuscript of an article published by Taylor & Francis Group in Optimization Methods and Software on 03/06/2015, available online: http://www.tandfonline.com/10.1080/10556788.2015.1047018