TDM：出行需求模型

“Travel Demand Model”（出行需求模型）在交通规划与机构管理领域被广泛使用。为便于书写和交流，该术语常被缩写为TDM。这一模型主要用于分析和预测人群的出行行为，为城市交通系统的优化提供重要依据。

A Quadratic Interpolation Method-Based Algorithm for a Combined Travel Demand Model(TDM)
基于二次插值法的交通需求组合模型算法
Travel demand model based in activity chain is a powerful tool and effectiveness and effective way to predict and analyze the characteristics of the trips of residents and for the evaluation of traffic demand management strategy implementation.
基于活动链的出行需求模型(TDM)是预测和分析居民出行特征、评价交通需求管理策略实施成效的有力工具和有效途径。
Currently, the major domestic and international travel demand forecasting model is based on the traditional model of the four-stage method.
当前，国内外主要使用的出行需求预测模型是基于四阶段法的传统模型。
It is very necessary to studies travel demand forecasting model from the perspective of complex systems which combined the complex characteristics of travel demand.
结合客流的复杂特性从复杂系统角度研究客流预测模型则显得非常必要。
Common forecasting method of travel demand is based on the mathematical model : statistical time series prediction method and causal model prediction.
旅游市场需求预测常见的方法有：时间序列预测法和因果模型预测法。

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