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Software . 2019
Data sources: Datacite
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Software . 2019
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prameshk/Traffic-Assignment: Static Traffic Assignment using User Equilibrium and Stochastic User Equilibrium- Python Code

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Oct 2019Publisher:Zenodo
Authors: Pramesh Kumar;
Code repository: https://github.com/prameshk/Traffic-Assignment/tree/2.0

doi: 10.5281/zenodo.3479554 , 10.5281/zenodo.1045572

prameshk/Traffic-Assignment: Static Traffic Assignment using User Equilibrium and Stochastic User Equilibrium- Python Code

Abstract

Traffic-Assignment is a repository for static traffic assignment python code. Currently, the program can solve the static traffic assignment problem using user equilibrium (UE) and stochastic user equilibrium (SUE) for the city network. The solution can be achieved using both MSA and Frank-Wolfe algorithm.

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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1
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97
8