dc.contributor.author |
Yonezawa, Takuya |
en |
dc.contributor.author |
Arai, Ismail |
en |
dc.contributor.author |
Akiyama, Toyokazu |
en |
dc.contributor.author |
Fujikawa, Kazutoshi |
en |
dc.date.accessioned |
2020-08-26T00:32:04Z |
en |
dc.date.available |
2020-08-26T00:32:04Z |
en |
dc.date.issued |
2018-03-23 |
en |
dc.identifier.isbn |
978-1-5386-3227-7 |
en |
dc.identifier.uri |
http://hdl.handle.net/10061/14032
|
en |
dc.description |
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops),Athens, Greece |
en |
dc.description.abstract |
In bus companies, it is important for an operation manager to grasp operation states of vehicles from a viewpoint of safety management and improving an operation efficiency. Currently, for allowing operation managers to grasp operation states of vehicles, drivers should record operation states by manually operating a recorder called ”Digital-tachograph.” However, operating the digital tachograph is a heavy burden to the driver. In addition, the records may have driver's human error. In order to solve these problems and to realize efficient operation, we propose a method for automatic classification of operation states using sensor data obtained from buses. We implemented a classifier using Random Forest with the sensor data. As a results of experiments, the correct answer rate was 0.92 or more in each condition unless it was irregular operation. |
ja |
dc.language.iso |
en |
en |
dc.publisher |
IEEE |
en |
dc.rights |
Copyright © 2018, IEEE |
ja |
dc.subject |
Companies |
en |
dc.subject |
Hidden Markov models |
en |
dc.subject |
Forestry |
en |
dc.subject |
Engines |
en |
dc.subject |
Automobiles |
en |
dc.subject |
Data models |
en |
dc.title |
Random Forest Based Bus Operation States Classification Using Vehicle Sensor Data |
en |
dc.type.nii |
Conference Paper |
en |
dc.contributor.transcription |
アライ, イスマイル |
ja |
dc.contributor.transcription |
フジカワ, カズトシ |
ja |
dc.contributor.alternative |
新井, イスマイル |
ja |
dc.contributor.alternative |
藤川, 和利 |
ja |
dc.textversion |
author |
en |
dc.identifier.jtitle |
|
en |
dc.relation.doi |
10.1109/PERCOMW.2018.8480291 |
en |
dc.identifier.NAIST-ID |
74652785 |
en |
dc.identifier.NAIST-ID |
73293045 |
en |