Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI)
Distracted driving causes most road accidents and injuries. Cell phones, food, radios, and passenger conversations are all distractions. Distractions may slow a driver's response time and increase the risk of accidents. Studies reveal that even minor distractions may impair a driver's abil...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Singapore
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/41143/ http://umpir.ump.edu.my/id/eprint/41143/1/Classification%20of%20Distracted%20Male%20Driver%20Based%20on%20Driving%20Performance%20Indicator.pdf http://umpir.ump.edu.my/id/eprint/41143/2/Classification%20of%20Distracted%20Male%20Driver%20Based%20on%20Driving%20Performance%20Indicator%20%28DPI%29.pdf |
| _version_ | 1848826249224388608 |
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| author | Ganasan, Shatiskumar Norazlianie, Sazali |
| author_facet | Ganasan, Shatiskumar Norazlianie, Sazali |
| author_sort | Ganasan, Shatiskumar |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Distracted driving causes most road accidents and injuries. Cell phones, food, radios, and passenger conversations are all distractions. Distractions may slow a driver's response time and increase the risk of accidents. Studies reveal that even minor distractions may impair a driver's ability to drive safely. This study examines how distracted driving affects male drivers. Using US and Malaysian databases will do this. This research included drivers with at least two years of experience to guarantee a representative sample. Each dataset chose 35 and 58 drivers. Driver distraction level, a new class characteristic, has four levels: no, mild, moderate, and severe. Weka software was used for “data mining” to get insights from a vast dataset. Weka is a strong data mining and machine learning program including algorithms for data preparation, classification, regression, clustering, and visualization. We applied these algorithms on their datasets using its GUI or command-line parameters. Speed, braking, acceleration, steering, lane offset, lane position, and time were used to assess driving performance. Male drivers were more likely to be distracted driving based on their driving skills which is identified by the driving performance indicator (DPI). |
| first_indexed | 2025-11-15T03:41:49Z |
| format | Conference or Workshop Item |
| id | ump-41143 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:41:49Z |
| publishDate | 2024 |
| publisher | Springer Singapore |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-411432024-05-16T04:26:11Z http://umpir.ump.edu.my/id/eprint/41143/ Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) Ganasan, Shatiskumar Norazlianie, Sazali TS Manufactures Distracted driving causes most road accidents and injuries. Cell phones, food, radios, and passenger conversations are all distractions. Distractions may slow a driver's response time and increase the risk of accidents. Studies reveal that even minor distractions may impair a driver's ability to drive safely. This study examines how distracted driving affects male drivers. Using US and Malaysian databases will do this. This research included drivers with at least two years of experience to guarantee a representative sample. Each dataset chose 35 and 58 drivers. Driver distraction level, a new class characteristic, has four levels: no, mild, moderate, and severe. Weka software was used for “data mining” to get insights from a vast dataset. Weka is a strong data mining and machine learning program including algorithms for data preparation, classification, regression, clustering, and visualization. We applied these algorithms on their datasets using its GUI or command-line parameters. Speed, braking, acceleration, steering, lane offset, lane position, and time were used to assess driving performance. Male drivers were more likely to be distracted driving based on their driving skills which is identified by the driving performance indicator (DPI). Springer Singapore 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41143/1/Classification%20of%20Distracted%20Male%20Driver%20Based%20on%20Driving%20Performance%20Indicator.pdf pdf en http://umpir.ump.edu.my/id/eprint/41143/2/Classification%20of%20Distracted%20Male%20Driver%20Based%20on%20Driving%20Performance%20Indicator%20%28DPI%29.pdf Ganasan, Shatiskumar and Norazlianie, Sazali (2024) Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI). In: Intelligent Manufacturing and Mechatronics, Lecture Notes in Networks and Systems. 4th International conference on Innovative Manufacturing, Mechatronics and Materials Forum, iM3F2023 , 07 – 08 August 2023 , Pekan, Malaysia. pp. 587-595., 850. ISSN 2367-3389 ISBN 978-981-99-8819-8 (Published) https://doi.org/10.1007/978-981-99-8819-8_49 |
| spellingShingle | TS Manufactures Ganasan, Shatiskumar Norazlianie, Sazali Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) |
| title | Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) |
| title_full | Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) |
| title_fullStr | Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) |
| title_full_unstemmed | Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) |
| title_short | Classification of Distracted Male Driver Based on Driving Performance Indicator (DPI) |
| title_sort | classification of distracted male driver based on driving performance indicator (dpi) |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/41143/ http://umpir.ump.edu.my/id/eprint/41143/ http://umpir.ump.edu.my/id/eprint/41143/1/Classification%20of%20Distracted%20Male%20Driver%20Based%20on%20Driving%20Performance%20Indicator.pdf http://umpir.ump.edu.my/id/eprint/41143/2/Classification%20of%20Distracted%20Male%20Driver%20Based%20on%20Driving%20Performance%20Indicator%20%28DPI%29.pdf |