z-logo
open-access-imgOpen Access
General stochastic user equilibrium traffic assignment problem with link capacity constraints
Author(s) -
Meng Qiang,
Lam William H. K.,
Yang Liu
Publication year - 2008
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1002/atr.5670420403
Subject(s) - subroutine , mathematical optimization , dual (grammatical number) , lagrangian , minification , path (computing) , sequence (biology) , lagrangian relaxation , computer science , basis (linear algebra) , benchmark (surveying) , link (geometry) , function (biology) , trajectory , mathematics , art , physics , geometry , literature , geodesy , astronomy , evolutionary biology , biology , genetics , programming language , geography , computer network , operating system
This paper addresses a general stochastic user equilibrium (SUE) traffic assignment problem with link capacity constraints. It first proposes a novel linearly constrained minimization model in terms of path flows and then shows that any of its local minimums satisfies the generalized SUE conditions. As the objective function of the proposed model involves path‐specific delay functions without explicit mathematical expressions, its Lagrangian dual formulation is analyzed. On the basis of the Lagrangian dual model, a convergent Lagrangian dual method with a predetermined step size sequence is developed. This solution method merely invokes a subroutine at each iteration to perform a conventional SUE traffic assignment excluding link capacity constraints. Finally, two numerical examples are used to illustrate the proposed model and solution method.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom