Abstract
Estimation model of diversion rate has been proposed for traffic demand forecasting on urban expressway. Fuzzy reasoning model was already proved to be useful to describe human behavior. The major objective of the study is to introduce somekinds of methods with fuzzy reasoning and to make their feature obvious. First, diversion model is developed with actual survey data considering the reality in traffic assignment stage. Second, implication methods on t-norms for reasoning are compared to know their merits of description and limitation of estimation. Third, the product-sum composition is investigated as a newly idea to modify conventional fuzzy reasoning methods from logical and practical point of view.
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