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

智能信息处理出行行为模型的应用 智能信息处理出行行为模型的应用

• 批准号: 14550528
• 负责人: AKIYAMA Takamasa
• 金额: $ 1.73万
• 依托单位: Gifu University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2002
• 资助国家: 日本
• 起止时间: 2002 至 2003
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-14550528/
• 关键词: Travel Behavior Analysis; Fuzzy Reasoning; Soft-Computing; Time Space Constraints; Transportation Policy; Congestion Pricing; Artificial Intelligence; Machine Learning

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.

构建了智能信息处理的出行行为模型。该模型针对城市交通政策的评估进行了校准。特别是，对出行者的决策过程进行了明确、详细的描述。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础技术融入到出行者的决策过程中。出行行为的顺序估计是基于模糊逻辑作为一种软计算技术而制定的。既然要提到估计模型的基本组成部分，就可以总结出模糊逻辑建模的优势。通过实证数据对城市通勤者的出行方式选择进行分析，可以总结出决策树算法的优势。即使不能引入社会优化技术作为交通政策，人工生命方法也可以根据个体决策结果明确存在有效率的自组织现象。通过建立模糊出行行为​​模型，可以通过针对城市地区的特定假设来实现道路定价政策的评估。出行者对交通政策的选择分类非常明显。通过模糊出行行为​​模型的估计，结合实例总结了出行模式的本质变化。从观察中可以知道，在城市网络上的道路定价安装中可以实现几种替代类型的出行模式。

项目成果

Takamasa Akiyama, Masashi Okushima: "Introduction of artificial life approach to urban transport network analysis"Proceedings of the 9th World Conference of Transport Research. Vol.9(Now Printing). (2004)

Takamasa Akiyama、Masashi Okushima：“城市交通网络分析的人工生命方法介绍”第九届世界交通研究大会论文集。

小澤友記子, 秋山孝正: "混雑料金導入時における交通行動変化の記述"第22回交通工学研究発表会論文報告集. 217-220 (2002)

Yukiko Ozawa，Takamasa Akiyama：“引入拥堵收费时交通行为变化的描述”第 22 届交通工程研究会议论文集 217-220 (2002)。

Takamasa Akiyama, Takahiro Noiri: "The Analysis of Zonal Congestion Pricing on Urban Network"The Selected Proceedings of the Ninth World Conference of Transport Research. (2003)

Takamasa Akiyama、Takahiro Noiri：“城市网络分区拥堵收费分析”第九届世界交通研究大会论文集选。

Yukiko Ozawa, Takamasa Akiyama, Masashi Okushima: "Impact Analysis of Congestion Pricing with Fuzzy Travel Behavior Model"Proceedings of International Scientific Committee Eastern Asia Society for Transportation Studies. Vol.5. 771-785 (2003)

Yukiko Ozawa、Takamasa Akiyama、Masashi Okushima：“模糊出行行为​​模型对拥堵收费的影响分析”东亚交通研究学会国际科学委员会会议记录。

澤田耕一, 秋山孝正, 奥嶋政嗣: "人工生命モデルを用いた都市交通政策の評価"平成14年度土木学会中部支部研究発表会講演概要集. 365-366 (2003)

Koichi Sawada、Takamasa Akiyama、Masatsugu Okushima：“使用人工生命模型评估城市交通政策”2002 年日本土木工程师学会中部分会研究报告摘要 365-366 (2003)。