Detecting aggressive driving patterns in drivers using vehicle sensor data
Aggressive driving is known to be a cause of vehicle accidents. Individuals with Attention-deficit hyperactivity disorder (ADHD) are prone to more aggressive behavior and that also leads to aggressive driving. To prevent aggressive driving, we strive to first understand aggressive driving and find p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-06-01
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| Series: | Transportation Research Interdisciplinary Perspectives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198222000872 |
| _version_ | 1818546867635486720 |
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| author | Michal Monselise Christopher C. Yang |
| author_facet | Michal Monselise Christopher C. Yang |
| author_sort | Michal Monselise |
| collection | DOAJ |
| description | Aggressive driving is known to be a cause of vehicle accidents. Individuals with Attention-deficit hyperactivity disorder (ADHD) are prone to more aggressive behavior and that also leads to aggressive driving. To prevent aggressive driving, we strive to first understand aggressive driving and find patterns in this type of driving behavior. In an effort to uncover to identify patterns in aggressive driving, we examine sensor data and video data of trips taken by drivers with ADHD and identify our distinct aggressive driving patterns. Using the sensor data, we extend our findings to all aggressive trips in our dataset and generate a model to detect aggressive driving patterns. By finding the similarity between trips and then using these distances to produce a KNN model, we are able to model our data and classify it into 4 driving patterns. This analysis can better inform us of the type of driving patterns that appear in aggressive driving. Using this analysis, we can also better understand which patterns are produce better precision and recall using this methodology. |
| first_indexed | 2024-12-12T07:58:58Z |
| format | Article |
| id | doaj.art-024fe41b37dc41e6ac959e55bb7b9d26 |
| institution | Directory Open Access Journal |
| issn | 2590-1982 |
| language | English |
| last_indexed | 2024-12-12T07:58:58Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj.art-024fe41b37dc41e6ac959e55bb7b9d262022-12-22T00:32:12ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822022-06-0114100625Detecting aggressive driving patterns in drivers using vehicle sensor dataMichal Monselise0Christopher C. Yang1Corresponding author.; College of Computing and Informatics, Drexel University, Philadelphia, PA, United StatesCollege of Computing and Informatics, Drexel University, Philadelphia, PA, United StatesAggressive driving is known to be a cause of vehicle accidents. Individuals with Attention-deficit hyperactivity disorder (ADHD) are prone to more aggressive behavior and that also leads to aggressive driving. To prevent aggressive driving, we strive to first understand aggressive driving and find patterns in this type of driving behavior. In an effort to uncover to identify patterns in aggressive driving, we examine sensor data and video data of trips taken by drivers with ADHD and identify our distinct aggressive driving patterns. Using the sensor data, we extend our findings to all aggressive trips in our dataset and generate a model to detect aggressive driving patterns. By finding the similarity between trips and then using these distances to produce a KNN model, we are able to model our data and classify it into 4 driving patterns. This analysis can better inform us of the type of driving patterns that appear in aggressive driving. Using this analysis, we can also better understand which patterns are produce better precision and recall using this methodology.http://www.sciencedirect.com/science/article/pii/S2590198222000872Aggressive drivingADHD driversNaturalistic driving studyTime seriesKNearest neighbors |
| spellingShingle | Michal Monselise Christopher C. Yang Detecting aggressive driving patterns in drivers using vehicle sensor data Transportation Research Interdisciplinary Perspectives Aggressive driving ADHD drivers Naturalistic driving study Time series KNearest neighbors |
| title | Detecting aggressive driving patterns in drivers using vehicle sensor data |
| title_full | Detecting aggressive driving patterns in drivers using vehicle sensor data |
| title_fullStr | Detecting aggressive driving patterns in drivers using vehicle sensor data |
| title_full_unstemmed | Detecting aggressive driving patterns in drivers using vehicle sensor data |
| title_short | Detecting aggressive driving patterns in drivers using vehicle sensor data |
| title_sort | detecting aggressive driving patterns in drivers using vehicle sensor data |
| topic | Aggressive driving ADHD drivers Naturalistic driving study Time series KNearest neighbors |
| url | http://www.sciencedirect.com/science/article/pii/S2590198222000872 |
| work_keys_str_mv | AT michalmonselise detectingaggressivedrivingpatternsindriversusingvehiclesensordata AT christophercyang detectingaggressivedrivingpatternsindriversusingvehiclesensordata |