中文标题#
从一些著名拥堵交通网络的用户行为中学习
英文标题#
Learning from user's behaviour of some well-known congested traffic networks
中文摘要#
我们考虑在均衡条件下预测拥挤交通网络中用户行为的问题，即交通分配问题。 我们提出了一种两阶段的机器学习方法，该方法将神经网络与固定点算法相结合，并在几个经典的拥挤交通网络上评估了其性能。
英文摘要#
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.
文章页面#
PDF 获取#
抖音扫码查看更多精彩内容