Application of Travel Behavior Model with Intelligent Information Processing Application of Travel Behavior Model with Intelligent Information Processing

构建了智能信息处理的出行行为模型。该模型用于城市交通政策的评估。特别是对出行者的决策过程进行了详细的描述。该出行行为模型可用于城市交通政策的影响分析。将智能信息处理的基本技术集成到出行者的决策过程中。将模糊逻辑作为一种软计算技术，提出了行车行为的序贯估计方法。由于应该提到估计模型的基本组成部分，因此可以总结模糊逻辑建模的优点。通过实证数据对城市通勤者的出行方式选择进行分析，总结出决策树算法的优势。人工生命方法在不能引入社会优化技术作为交通政策的情况下，根据个体决策结果，明确了具有效率的自组织现象的存在。通过建立模糊出行行为模型，对城市区域进行特定假设，实现道路收费政策的评价。出行主体对交通政策的选择分类相当明显。通过模糊出行行为模型的估计，结合实例总结了出行方式的本质变化。从观察中可以看出，在城市网络上安装道路收费可以实现几种不同的出行模式。

The travel behavior model with intelligent information processing is constructed. The model is calibrated for evaluation of the urban transportation policy. In particular, the decision process of trip makers is described explicitly in detail. The travel behavior model can be applied for the impact analysis of the urban transportation policy.The elemental technologies of intelligent information processing are integrated to the decision process of trip makers. The sequential estimation of travel behavior has been formulated based on fuzzy logic as a soft-computing technique. Since the essential components of the estimation model should be mentioned, the advantages of fuzzy logic modeling can be summarized.The advantages of the decision tree algorithms can be summarized through the analysis of modal choice for commuters in urban area with empirical data. The artificial life approach make clear the existence of self-organized phenomena with efficiency according to the individual decision results even if social optimization techniques cannot be introduced as transport policies.The evaluation of road pricing policy can be realized with the particular assumption for urban area with established fuzzy travel behavior model. The options of trip maker to the transport policy are classified quite obviously. The essential changes of travel patterns are summarized with example cases through the estimation of fuzzy travel behavior model. It would be known from the observation that several alternative types of travel pattern might be realized in road pricing installation on the urban network.