Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912665531> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2912665531 endingPage "11" @default.
- W2912665531 startingPage "1" @default.
- W2912665531 abstract "Rear-end collision crash is one of the most common accidents on the road. Accurate driving style recognition considering rear-end collision risk is crucial to design useful driver assistance systems and vehicle control systems. The purpose of this study is to develop a driving style recognition method based on vehicle trajectory data extracted from the surveillance video. First, three rear-end collision surrogates, Inversed Time to Collision (ITTC), Time-Headway (THW), and Modified Margin to Collision (MMTC), are selected to evaluate the collision risk level of vehicle trajectory for each driver. The driving style of each driver in training data is labelled based on their collision risk level using K-mean algorithm. Then, the driving style recognition model’s inputs are extracted from vehicle trajectory features, including acceleration, relative speed, and relative distance, using Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT), and statistical method to facilitate the driving style recognition. Finally, Supporting Vector Machine (SVM) is applied to recognize driving style based on the labelled data. The performance of Random Forest (RF), K-Nearest Neighbor (KNN), and Multi-Layer Perceptron (MLP) is also compared with SVM. The results show that SVM overperforms others with 91.7% accuracy with DWT feature extraction method." @default.
- W2912665531 created "2019-02-21" @default.
- W2912665531 creator A5036269989 @default.
- W2912665531 creator A5063933134 @default.
- W2912665531 creator A5086060866 @default.
- W2912665531 creator A5089831591 @default.
- W2912665531 date "2019-01-23" @default.
- W2912665531 modified "2023-10-02" @default.
- W2912665531 title "Rapid Driving Style Recognition in Car-Following Using Machine Learning and Vehicle Trajectory Data" @default.
- W2912665531 cites W1932781435 @default.
- W2912665531 cites W1983219589 @default.
- W2912665531 cites W1993292974 @default.
- W2912665531 cites W2005378233 @default.
- W2912665531 cites W2009386954 @default.
- W2912665531 cites W2013875843 @default.
- W2912665531 cites W2047030012 @default.
- W2912665531 cites W2065307248 @default.
- W2912665531 cites W2084246939 @default.
- W2912665531 cites W2089470280 @default.
- W2912665531 cites W2111876879 @default.
- W2912665531 cites W2139203131 @default.
- W2912665531 cites W2142578527 @default.
- W2912665531 cites W2277710627 @default.
- W2912665531 cites W2308230922 @default.
- W2912665531 cites W2410077615 @default.
- W2912665531 cites W2464088379 @default.
- W2912665531 cites W2533654249 @default.
- W2912665531 cites W2554310451 @default.
- W2912665531 cites W2577692329 @default.
- W2912665531 cites W2761937448 @default.
- W2912665531 cites W2793233943 @default.
- W2912665531 cites W2883499538 @default.
- W2912665531 doi "https://doi.org/10.1155/2019/9085238" @default.
- W2912665531 hasPublicationYear "2019" @default.
- W2912665531 type Work @default.
- W2912665531 sameAs 2912665531 @default.
- W2912665531 citedByCount "51" @default.
- W2912665531 countsByYear W29126655312019 @default.
- W2912665531 countsByYear W29126655312020 @default.
- W2912665531 countsByYear W29126655312021 @default.
- W2912665531 countsByYear W29126655312022 @default.
- W2912665531 countsByYear W29126655312023 @default.
- W2912665531 crossrefType "journal-article" @default.
- W2912665531 hasAuthorship W2912665531A5036269989 @default.
- W2912665531 hasAuthorship W2912665531A5063933134 @default.
- W2912665531 hasAuthorship W2912665531A5086060866 @default.
- W2912665531 hasAuthorship W2912665531A5089831591 @default.
- W2912665531 hasBestOaLocation W29126655311 @default.
- W2912665531 hasConcept C121332964 @default.
- W2912665531 hasConcept C121704057 @default.
- W2912665531 hasConcept C12267149 @default.
- W2912665531 hasConcept C1276947 @default.
- W2912665531 hasConcept C13662910 @default.
- W2912665531 hasConcept C153180895 @default.
- W2912665531 hasConcept C154945302 @default.
- W2912665531 hasConcept C2780864053 @default.
- W2912665531 hasConcept C38652104 @default.
- W2912665531 hasConcept C41008148 @default.
- W2912665531 hasConcept C52622490 @default.
- W2912665531 hasConceptScore W2912665531C121332964 @default.
- W2912665531 hasConceptScore W2912665531C121704057 @default.
- W2912665531 hasConceptScore W2912665531C12267149 @default.
- W2912665531 hasConceptScore W2912665531C1276947 @default.
- W2912665531 hasConceptScore W2912665531C13662910 @default.
- W2912665531 hasConceptScore W2912665531C153180895 @default.
- W2912665531 hasConceptScore W2912665531C154945302 @default.
- W2912665531 hasConceptScore W2912665531C2780864053 @default.
- W2912665531 hasConceptScore W2912665531C38652104 @default.
- W2912665531 hasConceptScore W2912665531C41008148 @default.
- W2912665531 hasConceptScore W2912665531C52622490 @default.
- W2912665531 hasFunder F4320335777 @default.
- W2912665531 hasLocation W29126655311 @default.
- W2912665531 hasOpenAccess W2912665531 @default.
- W2912665531 hasPrimaryLocation W29126655311 @default.
- W2912665531 hasRelatedWork W2041399278 @default.
- W2912665531 hasRelatedWork W2056016498 @default.
- W2912665531 hasRelatedWork W2136184105 @default.
- W2912665531 hasRelatedWork W2160451891 @default.
- W2912665531 hasRelatedWork W2336974148 @default.
- W2912665531 hasRelatedWork W2811390910 @default.
- W2912665531 hasRelatedWork W2888834927 @default.
- W2912665531 hasRelatedWork W3013515612 @default.
- W2912665531 hasRelatedWork W2187500075 @default.
- W2912665531 hasRelatedWork W2345184372 @default.
- W2912665531 hasVolume "2019" @default.
- W2912665531 isParatext "false" @default.
- W2912665531 isRetracted "false" @default.
- W2912665531 magId "2912665531" @default.
- W2912665531 workType "article" @default.