Short Term Prediction of Highway Travel Time Using Data Mining and Neuro-fuzzy Methods
نویسندگان
چکیده
We show that prediction of travel time on a 28-km long highway section based on on-line travel time measurements with video is practicable by data mining and neuro-fuzzy methods. We introduce two new prediction models. The first one is a result of GUHA style data mining analysis and Total Fuzzy Similarity method, and the second one is a hierarchical model based on neuro-fuzzy modelling. Comparing results with the existing Traficon model, both new models improve the travel time prediction. The results obtained by the new methods are comparable to MLP neural network model, too.
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تاریخ انتشار 2002