.png){kind=icon}
.png){kind=icon}
Return
A New Algorithm for Achieving Proportionality in User Equilibrium Traffic Assignment
.png){kind=icon}
PRE
AI
DOI：10.1287/trsc.2018.0845.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes a novel algorithm to determine the path flow solution that satisfies the proportionality condition from a given origin-based user equilibrium (UE) link flow solution. The algorithm iteratively refines the origin-based bush representation of the UE solution through constructing a list of node-based arrival bushes and solving the entropy maximization subproblems defined on them. Thanks to the special structure of bushes, these subproblems can be solved efficiently. The proposed algorithm thus obviates the known hurdles to efficient implementation, such as enumerating all UE paths or collecting a set of paired alternative segments to cover them. We prove that the algorithm ensures convergence to a solution that perfectly satisfies the proportionality condition in general networks. Numerical experiments indicate that the proposed algorithm converges much faster than the known alternative, with a three- to eightfold speed-up on large networks.
Keywords:
proportionality
entropy maximization
user equilibrium
paired alternative segment
bush representation
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.8
Papers:
1.9K
Citations:
8.4K