The application of combined models for traffic demand forecasting is analyzed, and emphasis is put on two combined models applied to demand forecasting for urban traffic.
分析了交通需求预测组合模型的应用，重点研究了适用于城市交通需求预测的两种组合模型。
The traditional forecast method of the demand of talent resources has its limitations. The combination forecasting method, which is made up of several forecasting models, is a good method.
传统的人力资源需求预测方法存在着局限性，近年来将多个预测模型集成在一起的“组合预测”法是一种较好的预测方法。
Both the application and model comparison showed the models established in this thesis had great value in the areas of travel behavior analysis and travel demand forecasting.
理论和应用研究均表明，本论文构建的模型系统在交通行为分析和需求预测方面具有更加强大的行为解释和实际应用能力。
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