Driving Style Classification Using a Semisupervised Support Vector Machine
Article Properties
-
DOI (url)
-
Publication Date2017/10/01
-
Indian UGC (journal)
-
Refrences48
-
Citations5
-
Wenshuo Wang
-
Junqiang Xi
-
Alexandre Chong
-
Lin Li
Cite
Wang, Wenshuo, et al. “Driving Style Classification Using a Semisupervised Support Vector Machine”. IEEE Transactions on Human-Machine Systems, vol. 47, no. 5, 2017, pp. 650-6, https://doi.org/10.1109/thms.2017.2736948.
Wang, W., Xi, J., Chong, A., & Li, L. (2017). Driving Style Classification Using a Semisupervised Support Vector Machine. IEEE Transactions on Human-Machine Systems, 47(5), 650-660. https://doi.org/10.1109/thms.2017.2736948
Wang, Wenshuo, Junqiang Xi, Alexandre Chong, and Lin Li. “Driving Style Classification Using a Semisupervised Support Vector Machine”. IEEE Transactions on Human-Machine Systems 47, no. 5 (2017): 650-60. https://doi.org/10.1109/thms.2017.2736948.
Wang W, Xi J, Chong A, Li L. Driving Style Classification Using a Semisupervised Support Vector Machine. IEEE Transactions on Human-Machine Systems. 2017;47(5):650-6.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Driving Style Analysis Using Data Mining Techniques | INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL |
| 110 | 2012 |
| A user's guide to support vector machines | 2010 | |||
| Human-centered feed-forward control of a vehicle steering system based on a driver's path-following characteristics | IEEE Transactions on Intelligent Transportation Systems |
| 2017 | |
| Three decades of driver assistance systems: Review and future perspectives | IEEE Transactions on Intelligent Transportation Systems |
| 2016 | |
| Research on virtual experimental teaching platform of vehicle electronic control | 2015 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Progress in Research on Equivalent Consumption Minimization Strategy Based on Different Information Sources for Hybrid Vehicles | IEEE Transactions on Transportation Electrification | 2024 | ||
| Driver Behavior Classification: A Systematic Literature Review | IEEE Access |
| 2023 | |
An Individual Driving Behavior Portrait Approach for Professional Driver of HDVs with Naturalistic Driving Data | Computational Intelligence and Neuroscience |
| 1 | 2022 |
Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model | Journal of Advanced Transportation |
| 7 | 2021 |
A New Support Vector Machine Based on Convolution Product | Complexity |
| 3 | 2021 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A New Support Vector Machine Based on Convolution Product and was published in 2021. The most recent citation comes from a 2024 study titled Progress in Research on Equivalent Consumption Minimization Strategy Based on Different Information Sources for Hybrid Vehicles. This article reached its peak citation in 2021, with 2 citations. It has been cited in 5 different journals, 60% of which are open access. Among related journals, the IEEE Transactions on Transportation Electrification cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.