提出了适用于大规模网络的组合随机用户平衡模型，能够同时预测出行分布和交通分配。
A combined stochastic user equilibrium model for simultaneous prediction of trip distribution and trip assignment on large-scale networks is developed.
及时准确地进行交通流短时预测是智能交通系统，尤其是其先进的交通管理系统与先进的出行者信息系统研究的关键内容之一。
Accurate short-term traffic flow forecasting is becoming a crucial step in its research, especially, for its Advanced traffic Management System and Advanced Traveler Information System research.
表明此方法操作简单，在实际交通规划的出行分布预测阶段，具有一定参考价值。
The method is simple and it has some actual value in the stage of trip distribution forcast in transport planning.
应用推荐