Learn from user behavior in some famous congested traffic networks

Sep 13, 2025#交通网络 #用户行为 #机器学习13

AI Translation

This post is translated from Chinese into English through AI.View Original

AI-generated summary

The paper addresses the prediction of user behavior in congested traffic networks under equilibrium conditions, specifically focusing on the traffic assignment problem. It introduces a two-stage machine learning method that combines a neural network with a fixed point algorithm and evaluates its effectiveness on several well-known congested traffic networks.

2508.14804v1

English Title#

Learning from user's behaviour of some well-known congested traffic networks

Abstract#

We consider the problem of predicting users' behavior of a congested traffic network under an equilibrium condition, the traffic assignment problem. We propose a two-stage machine learning approach which couples a neural network with a fixed point algorithm, and we evaluate its performance along several classical congested traffic networks.

Article Page#

Learning from user's behaviour of some well-known congested traffic networks

PDF Access#

View Chinese PDF - 2508.14804v1

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