Modality Classification Method Based on the Model of Vibration Generation while Vehicles are Running

Authors:
Hiroki Ohashi;Takayuki Akiyama;Masaaki Yamamoto;Akiko Sato
Affiliations:
Central Research Laboratory, Hitachi, Ltd., 1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo;Central Research Laboratory, Hitachi, Ltd., 1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo;Central Research Laboratory, Hitachi, Ltd., 1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo;Central Research Laboratory, Hitachi, Ltd., 1-280, Higashi-koigakubo, Kokubunji-shi, Tokyo
Venue:
Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science
Year:
2013

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Abstract

This paper deals with the classification problem of modes of transportation using the information obtained with mobile devices such as smartphones. We especially focus on distinction between cars and motorbikes, which have been a difficult problem due to their similarity. In order to solve this problem, we propose the classification method based on the model of vibration generation while vehicles are running. We conducted an experiment to evaluate the classification accuracy and obtained the accuracy of over 80%.