Short term prediction of highway travel time using GUHA data mining method

Title:

Short term prediction of highway travel time using GUHA data mining method

Creator:

Coufal, David and Turunen, Esko

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:a39bd7c1-8e53-489e-b326-a7d8dfbdf180
uuid:a39bd7c1-8e53-489e-b326-a7d8dfbdf180

Subject:

data mining and many-valued logic

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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 a data mining method. We introduce a new prediction model, a result of the GUHA style data mining analysis and tlie Total Fuzzy Similarity method. Comparing the results with the existing Traficon model, oiir model improves the travel time class prediction. The results obtained by our method are comparable to the MLP neural network model, too.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2004 Volume:14 | Number:3-4

Harvested from:

CDK

Metadata only:

false