An introduction of the estimation model of nitrogen oxide exhausted by cars in road traffic simulator -MITRAM
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- WATANABE Toshiya
- University of Electro-Communication
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- MASUDA Kazuhiro
- University of Electro-Communication
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- HONDA Nakaji
- University of Electro-Communication
Bibliographic Information
- Other Title
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- MITRAMのデータを用いた窒素酸化物排出量推定モデルの構築
- MITRAM ノ データ オ モチイタ チッソ サンカブツ ハイシュツリョウ スイテイ モデル ノ コウチク
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Abstract
This paper shows the result of the nitrogen oxide estimation modelused in the microscopic road traffic simulator MITRAM in thisresearch. "To decrease the amount of the toxic substances." is a majortask for all human beings. The large number of the cars can beregarded as an exhaust source of the toxic substances emitted to theatmosphere. In the cities, the nitrogen oxide vented by cars bringsphotochemical smog pollution to the urban place. However, in thispaper, the signal control method has been confirmed to be able to easethe traffic congestion in the urban area, which as a result can reducethe emission amount of the nitrogen oxide. Moreover, the correlationbetween the traffic congestion and the amount of the oxide of nitrogenhas also been made clear in this paper.%This paper shows that the oxide of nitrogen estimation model into microscopic road traffic simulator MITRAM in this research. "The number of poisonous substances is decreased" It is a big problem for man. The existence of the car cannot be overlooked as an exhaust source of the poisonous substance that exists in the atmosphere. In the city, the oxide of nitrogen exhausted by the car causes the urban ozone. Then, the signal control method was confirmed to work over measures to ease the traffic jam in the urban area and the relation to the amount of the oxide of nitrogen exhaust was confirmed.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 21 (0), 110-110, 2005
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205668565504
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- NII Article ID
- 130005034908
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 024278758
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed