This paper introduces a travel demand model that simulates car free day activities, with a purpose to quantitatively analyze the corresponding network conditions.
介绍了一个专用于模拟无车日活动的交通需求预测模型，以对无车日期间的交通网络状况作量化分析。
The traditional travel demand model usually bases itself on the od study survey and employs a 4-step modeling process including trip generation, trip distribution, mode choice and assignment.
传统的交通需求4阶段分析模型大多基于各类出行的起讫点调查(OD调查)，建立出行生成、出行分布、出行方式选择和流量分配的4阶段预测模式。
According to the activity-based travel demand forecasting concept and modeling, a full-day activity pattern model was developed.
根据基于活动的出行需求预测思想和建模方法建立了日活动计划模型。
Based on the four-step demand model with a feedback loop, a feedback mechanism with on-line travel time parameter calibration is proposed.
以引入反馈机制的四阶段需求模型为基础，提出带有在线出行时耗参数标定的反馈机制。
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。
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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