2005 Fiscal Year Final Research Report Summary
Evaluation of Road Pricing by Travel Behavior Model with Fuzzy Logic
| Project/Area Number |
16560460
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
交通工学・国土計画
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| Research Institution | Gifu University |
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Principal Investigator |
AKIYAMA Takamasa Gifu University, Faculty of Engineering, Professor, 工学部, 教授 (70159341)
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| Co-Investigator(Kenkyū-buntansha) |
OKUSHIMA Masashi Gifu University, Faculty of Engineering, Research Associate, 工学部, 助手 (20345797)
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| Project Period (FY) |
2004 – 2005
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| Keywords | ravel behavior analysis / fuzzy reasoning / soft-computing technique / time and space constraint / evaluation of transport policy / congestion pricing / artificial life approach / machine learning |
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| Research Abstract |
The study focuses on the change of travel behaviors corresponding to the installation of road pricing. The fuzzy travel behavior model is proposed with the sequential estimation process for the reaction of trip maker to the transport policy and the daily travel pattern production. The model may have the advantages to estimate the trip pattern with human fuzziness. Therefore, the different types of impact would be realized from the travel pattern analysis. The fuzzy travel behavior model is designed with the sequential estimation process to describe the travel pattern in road pricing installation. In particular, the options of trip maker are determined to summarize the reactions to transport policy. Since the perception of trip maker can be formulated with fuzzy logic, the decision of individual trip maker might be easily analyzed through the estimation process. Another advantage of fuzzy logic formulation is realized as well in the process of model calibration. The reactions of trip maker to road pricing can be summarized statistically. The road pricing for commuting time period on the central area is assumed as an example case. Modal shift is regarded as the largest effect of road pricing. Similarly, the change of travel route is observed as the second largest effect on urban network. The scale of overall effect can be measured as the number of individuals with selecting alternative options in proportion to the value of congestion toll. The changes in travel pattern can be discussed connecting to the options for road pricing. As the travel pattern is generated with accumulating trips between daily activities, the travel behavior description model with sequential estimation is applied. The impact of road pricing can be described as individual change of travel pattern to show the indirect influence to the existing trips before road pricing installations.
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Research Products
(12 results)
