Travel Behaviour Analysis Model with Soft-computing Techniques

基于软计算技术的出行行为分析模型

基本信息

批准号：
10650524
负责人：
AKIYAMA Takamasa
金额：
$ 2.11万
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：
1998
资助国家：
日本
起止时间：
1998 至 1999
项目状态：
已结题

项目摘要

The travel behaviour analysis model is proposed to describe the multi-stage decision of trip maker in the research. The model is applied to evaluate the transport policy. Firstly, the travel pattern descriptive model is proposed on the basis of activity distribution to demonstrate the key structure of the travel behaviour model. Secondly, the extension of the model description is mentioned. The application to the evaluation of transport policy is discussed as well. The research results are summarized as follows:1. The applicability of soft-computing technique is mentioned to investigate the knowledge based modelling for modal choice and route choice with fuzzy reasoning as well as neural network (NN). The descriptive models with uncertain events in human decision for travel behaviour are summarized.2. The six activity based models in the stages of travel are constructed to describe the individual daily travel patterns. Particularly, fuzzy neural network (FN) model is mainly applied to create the model with the combination between fuzzy reasoning and neural network.3. The hybrid model is proposed to combine the stochastic and soft-computing approaches complementally. The fuzzy logit model (FLM) is constructed with combining between fuzzy reasoning and logit model. The travel behaviour can be easily described with randomness as well as fuzziness.4. The evaluation of transport policy is mentioned to consider the applicability of the proposed model with person trip survey data. It would be confirmed that the model could describe the travel patterns corresponding to the change of transport environments5. The research results in the above stages have been reported in international and domestic conferences as JSCE and so on. The further study topics are summarized as well.

提出了旅行行为分析模型来描述研究中旅行者的多阶段决策。该模型用于评估运输政策。首先，根据活动分布提出了旅行模式描述模型，以证明旅行行为模型的关键结构。其次，提到了模型描述的扩展。还讨论了对运输政策评估的应用。研究结果总结如下：1。提到了软计算技术的适用性，以研究具有模糊推理以及神经网络（NN）的模态选择和路线选择的基于知识的建模。总结了人类决策中有不确定事件的描述性模型2。构建了旅行阶段的六个基于活动的模型，以描述单个每日旅行模式。特别是，模糊神经网络（FN）模型主要用于创建模型，并结合模糊推理和神经网络之间。3。提出了杂种模型以补充随机和软计算方法。模糊logit模型（FLM）是通过模糊推理和logit模型之间结合的。可以随机性和模糊性轻松描述旅行行为4。提到对运输政策的评估是为了考虑拟议模型和人旅行调查数据的适用性。可以确定的是，该模型可以描述与运输环境变化相对应的旅行模式5。在国际和国内会议上，该研究结果在上述阶段中为JSCE等报道。还总结了进一步的研究主题。