Driver behavior profiling: An investigation with different smartphone sensors and machine learning.
Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving data and application of computer models to generate...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5386255?pdf=render |
| _version_ | 1819122926100676608 |
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| author | Jair Ferreira Eduardo Carvalho Bruno V Ferreira Cleidson de Souza Yoshihiko Suhara Alex Pentland Gustavo Pessin |
| author_facet | Jair Ferreira Eduardo Carvalho Bruno V Ferreira Cleidson de Souza Yoshihiko Suhara Alex Pentland Gustavo Pessin |
| author_sort | Jair Ferreira |
| collection | DOAJ |
| description | Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving data and application of computer models to generate a classification that characterizes the driver aggressiveness profile. Different sensors and classification methods have been employed in this task, however, low-cost solutions and high performance are still research targets. This paper presents an investigation with different Android smartphone sensors, and classification algorithms in order to assess which sensor/method assembly enables classification with higher performance. The results show that specific combinations of sensors and intelligent methods allow classification performance improvement. |
| first_indexed | 2024-12-22T07:00:12Z |
| format | Article |
| id | doaj.art-776f323236f4410a9449378fee8086c2 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T07:00:12Z |
| publishDate | 2017-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-776f323236f4410a9449378fee8086c22022-12-21T18:34:50ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01124e017495910.1371/journal.pone.0174959Driver behavior profiling: An investigation with different smartphone sensors and machine learning.Jair FerreiraEduardo CarvalhoBruno V FerreiraCleidson de SouzaYoshihiko SuharaAlex PentlandGustavo PessinDriver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving data and application of computer models to generate a classification that characterizes the driver aggressiveness profile. Different sensors and classification methods have been employed in this task, however, low-cost solutions and high performance are still research targets. This paper presents an investigation with different Android smartphone sensors, and classification algorithms in order to assess which sensor/method assembly enables classification with higher performance. The results show that specific combinations of sensors and intelligent methods allow classification performance improvement.http://europepmc.org/articles/PMC5386255?pdf=render |
| spellingShingle | Jair Ferreira Eduardo Carvalho Bruno V Ferreira Cleidson de Souza Yoshihiko Suhara Alex Pentland Gustavo Pessin Driver behavior profiling: An investigation with different smartphone sensors and machine learning. PLoS ONE |
| title | Driver behavior profiling: An investigation with different smartphone sensors and machine learning. |
| title_full | Driver behavior profiling: An investigation with different smartphone sensors and machine learning. |
| title_fullStr | Driver behavior profiling: An investigation with different smartphone sensors and machine learning. |
| title_full_unstemmed | Driver behavior profiling: An investigation with different smartphone sensors and machine learning. |
| title_short | Driver behavior profiling: An investigation with different smartphone sensors and machine learning. |
| title_sort | driver behavior profiling an investigation with different smartphone sensors and machine learning |
| url | http://europepmc.org/articles/PMC5386255?pdf=render |
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