Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters
Joint Authors
Masino, Johannes
Thumm, Jakob
Levasseur, Guillaume
Frey, Michael
Gauterin, Frank
Mikut, Ralf
Reischl, Markus
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-22
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This work aims at classifying the road condition with data mining methods using simple acceleration sensors and gyroscopes installed in vehicles.
Two classifiers are developed with a support vector machine (SVM) to distinguish between different types of road surfaces, such as asphalt and concrete, and obstacles, such as potholes or railway crossings.
From the sensor signals, frequency-based features are extracted, evaluated automatically with MANOVA.
The selected features and their meaning to predict the classes are discussed.
The best features are used for designing the classifiers.
Finally, the methods, which are developed and applied in this work, are implemented in a Matlab toolbox with a graphical user interface.
The toolbox visualizes the classification results on maps, thus enabling manual verification of the results.
The accuracy of the cross-validation of classifying obstacles yields 81.0% on average and of classifying road material 96.1% on average.
The results are discussed on a comprehensive exemplary data set.
American Psychological Association (APA)
Masino, Johannes& Thumm, Jakob& Levasseur, Guillaume& Frey, Michael& Gauterin, Frank& Mikut, Ralf…[et al.]. 2018. Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1181783
Modern Language Association (MLA)
Masino, Johannes…[et al.]. Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters. Journal of Advanced Transportation No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1181783
American Medical Association (AMA)
Masino, Johannes& Thumm, Jakob& Levasseur, Guillaume& Frey, Michael& Gauterin, Frank& Mikut, Ralf…[et al.]. Characterization of Road Condition with Data Mining Based on Measured Kinematic Vehicle Parameters. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1181783
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181783