The proposal of brief hypothesis data utilized in the process of constructing the car-following model
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- WANG WEIEN
- The University of Electro-Communications
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- ITAKURA NAOAKI
- The University of Electro-Communications
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- HONDA NAKAJI
- The University of Electro-Communications
Bibliographic Information
- Other Title
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- 追従運転モデル構築に利用する簡易作成模擬データの提案(セッション1)
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Abstract
By using the Fuzzy Neural Network (FNN), the car-following driving model can be built to represent the actual driving, and which is no longer relying on the model designer's experience. Accordingly, a large quantity of actual data has been provided to build more precise car-following driving model. Besides, it's necessary to understand deeply the driving character which the model is applied for simulating the practical traffic. Therefore, in this research, we suppose that only the speed of preceding vehicle can transmit to the succeeding vehicle as long as it is an unadulterated car-following driving. Under this precondition, we simulated simple car-following driving data whose speed is like sine wave. And then we discussed the probability to build car-following driving model by those data.
Journal
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- IPSJ SIG technical reports
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IPSJ SIG technical reports 2006 (135), 1-4, 2006-12-21
Information Processing Society of Japan (IPSJ)
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Details 詳細情報について
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- CRID
- 1570572702290808064
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- NII Article ID
- 110006164297
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- NII Book ID
- AA12055912
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- ISSN
- 09196072
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- Text Lang
- ja
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- Data Source
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- CiNii Articles