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Equilibrium traffic assignment

training surrogate models to approximate user equilibrium network traffic assignment, which is a convex optimization problem.

Papers

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Showing 1–6 of 6 papers

TitleStatusHype
A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks—0
End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment—0
Deployment of Leader-Follower Automated Vehicle Systems for Smart Work Zone Applications with a Queuing-based Traffic Assignment Approach—0
A hybrid deep-learning-metaheuristic framework for bi-level network design problemsCode0
Traffic Assignment Problem for Footpath Networks with Bidirectional Links—0
A modified Physarum-inspired model for the user equilibrium traffic assignment problem—0
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