Sequential path-equilibration algorithm for highly accurate traffic flow assignment in an urban road network

DOI10.1080/10556788.2023.2196725zbMath1523.90076OpenAlexW4377224665MaRDI QIDQ6078430

Alexander Krylatov

Publication date: 27 September 2023

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556788.2023.2196725

zbMATH Keywords

decompositionnonlinear optimizationsequential optimizationpath-equilibration techniquesuser-equilibrium route-flow traffic assignment

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Nonlinear programming (90C30) Deterministic network models in operations research (90B10) Traffic problems in operations research (90B20)

Cites Work

• Unnamed Item
• A framework for and empirical study of algorithms for traffic assignment
• Computational study of state-of-the-art path-based traffic assignment algorithms
• A computational study of path-based methods for optimal traffic assignment with both inelastic and elastic demand
• On the convergence of descent methods for monotone variational inequalities
• Column generation for the equilibrium route-flow traffic assignment problem
• A convergent and efficient decomposition method for the traffic assignment problem
• Network flow assignment as a fixed point problem
• Simplicial Decomposition with Disaggregated Representation for the Traffic Assignment Problem
• Reduction of a Minimization Problem of a Separable Convex Function Under Linear Constraints to a Fixed Point Problem
• A convergent and fast path equilibration algorithm for the traffic assignment problem
• Traffic assignment problem for a general network

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