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Equilibrium traffic assignment
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training surrogate models to approximate user equilibrium network traffic assignment, which is a convex optimization problem.
논문
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End-to-End Heterogeneous Graph Neural Networks for Traffic Assignment
Deployment of Leader-Follower Automated Vehicle Systems for Smart Work Zone Applications with a Queuing-based Traffic Assignment Approach
A hybrid deep-learning-metaheuristic framework for bi-level network design problems
Traffic Assignment Problem for Footpath Networks with Bidirectional Links
A modified Physarum-inspired model for the user equilibrium traffic assignment problem
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