A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms
In this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style analysis systems. This review therefore serves a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/12/29822 |
| _version_ | 1811184168955019264 |
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| author | Gys Albertus Marthinus Meiring Hermanus Carel Myburgh |
| author_facet | Gys Albertus Marthinus Meiring Hermanus Carel Myburgh |
| author_sort | Gys Albertus Marthinus Meiring |
| collection | DOAJ |
| description | In this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style analysis systems. This review therefore serves as a trove of information, and will inform the specialist and the student regarding the current state of the art in driver style analysis systems, the application of these systems and the underlying artificial intelligence algorithms applied to these applications. The aim of the investigation is to evaluate the possibilities for unique driver identification utilizing the approaches identified in other driver behaviour studies. It was found that Fuzzy Logic inference systems, Hidden Markov Models and Support Vector Machines consist of promising capabilities to address unique driver identification algorithms if model complexity can be reduced. |
| first_indexed | 2024-04-11T13:09:35Z |
| format | Article |
| id | doaj.art-b7424db578544129ab029c535020a6a2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:09:35Z |
| publishDate | 2015-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b7424db578544129ab029c535020a6a22022-12-22T04:22:38ZengMDPI AGSensors1424-82202015-12-011512306533068210.3390/s151229822s151229822A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence AlgorithmsGys Albertus Marthinus Meiring0Hermanus Carel Myburgh1Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South AfricaDepartment of Electrical, Electronic and Computer Engineering, University of Pretoria, Private Bag X20, Hatfield, Pretoria 0028, South AfricaIn this paper the various driving style analysis solutions are investigated. An in-depth investigation is performed to identify the relevant machine learning and artificial intelligence algorithms utilised in current driver behaviour and driving style analysis systems. This review therefore serves as a trove of information, and will inform the specialist and the student regarding the current state of the art in driver style analysis systems, the application of these systems and the underlying artificial intelligence algorithms applied to these applications. The aim of the investigation is to evaluate the possibilities for unique driver identification utilizing the approaches identified in other driver behaviour studies. It was found that Fuzzy Logic inference systems, Hidden Markov Models and Support Vector Machines consist of promising capabilities to address unique driver identification algorithms if model complexity can be reduced.http://www.mdpi.com/1424-8220/15/12/29822driving styledriver behaviourartificial intelligencemachine learningdriver safetyroad accidentdriver identification |
| spellingShingle | Gys Albertus Marthinus Meiring Hermanus Carel Myburgh A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms Sensors driving style driver behaviour artificial intelligence machine learning driver safety road accident driver identification |
| title | A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms |
| title_full | A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms |
| title_fullStr | A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms |
| title_full_unstemmed | A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms |
| title_short | A Review of Intelligent Driving Style Analysis Systems and Related Artificial Intelligence Algorithms |
| title_sort | review of intelligent driving style analysis systems and related artificial intelligence algorithms |
| topic | driving style driver behaviour artificial intelligence machine learning driver safety road accident driver identification |
| url | http://www.mdpi.com/1424-8220/15/12/29822 |
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