FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3204368668> ?p ?o ?g. }

• W3204368668 endingPage "9818" @default.
• W3204368668 startingPage "9809" @default.
• W3204368668 abstract "The purposes are to investigate the personalized situation adaptive Human-Computer Interaction (HCI) in the COVID-19 context, achieve accurate predictions for HCI in different urban transportation situations, and solve the urban intelligent transportation problems. Problems of Human-Vehicles-Interaction (HVI) in context awareness are analyzed. Historical traffic flow in three different situations, including novice user situation, mid user situation, and expert user situation, are taken as the data sources. The HVI data are preprocessed afterward. Next, Dilated Convolution (DC) and Long-Short Term Memory (LSTM) are integrated (DC-LSTM) to build an HVI model based on situation adaptive. The proposed model is simulated to analyze its performance. Simulation experiments suggest that the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) of the proposed model are 4.64%, 5.34%, and 7.82%, respectively. Although these three metrics increase under the mid user and expert user situations, the proposed model can still provide a higher accuracy than LTSM, Convolutional Neural Network (CNN), Simple Recurrent Network (SRN), Support Vector Regression (SVR), and Multi-Layer Perceptron (MLP). Besides, the prediction velocity can maintain about 60 Frame-Per-Second (FPS) under all three user situations. Regarding the path guidance performance, the proposed model can suppress the traffic congestion and dredge the congested sections effectively. Hence, the HVI model based on situational adaptation constructed has high prediction accuracy and traffic congestion evacuation performance, which can provide an experimental basis for the later intelligent transportation field and improving situational self-adaptability." @default.
• W3204368668 created "2021-10-11" @default.
• W3204368668 creator A5023204809 @default.
• W3204368668 creator A5027852193 @default.
• W3204368668 creator A5066483551 @default.
• W3204368668 date "2022-07-01" @default.
• W3204368668 modified "2023-10-16" @default.
• W3204368668 title "Personalized Situation Adaptive Human-Vehicles-Interaction (HVI) Prediction in COVID-19 Context" @default.
• W3204368668 cites W2576845151 @default.
• W3204368668 cites W2773627628 @default.
• W3204368668 cites W2808485586 @default.
• W3204368668 cites W2886459018 @default.
• W3204368668 cites W2903821576 @default.
• W3204368668 cites W2903957135 @default.
• W3204368668 cites W2908370542 @default.
• W3204368668 cites W2916496595 @default.
• W3204368668 cites W2921479386 @default.
• W3204368668 cites W2921852856 @default.
• W3204368668 cites W2936286953 @default.
• W3204368668 cites W2942806183 @default.
• W3204368668 cites W2956007835 @default.
• W3204368668 cites W2988422249 @default.
• W3204368668 cites W2997058333 @default.
• W3204368668 cites W2998812258 @default.
• W3204368668 cites W3042710080 @default.
• W3204368668 cites W3087610836 @default.
• W3204368668 cites W3089916460 @default.
• W3204368668 cites W3091369929 @default.
• W3204368668 cites W3092220690 @default.
• W3204368668 cites W3097975410 @default.
• W3204368668 cites W3104801653 @default.
• W3204368668 cites W3119808453 @default.
• W3204368668 cites W3120971221 @default.
• W3204368668 cites W3127062256 @default.
• W3204368668 cites W3041738652 @default.
• W3204368668 doi "https://doi.org/10.1109/tits.2021.3115633" @default.
• W3204368668 hasPublicationYear "2022" @default.
• W3204368668 type Work @default.
• W3204368668 sameAs 3204368668 @default.
• W3204368668 citedByCount "0" @default.
• W3204368668 crossrefType "journal-article" @default.
• W3204368668 hasAuthorship W3204368668A5023204809 @default.
• W3204368668 hasAuthorship W3204368668A5027852193 @default.
• W3204368668 hasAuthorship W3204368668A5066483551 @default.
• W3204368668 hasConcept C105795698 @default.
• W3204368668 hasConcept C119857082 @default.
• W3204368668 hasConcept C12267149 @default.
• W3204368668 hasConcept C124101348 @default.
• W3204368668 hasConcept C127413603 @default.
• W3204368668 hasConcept C139945424 @default.
• W3204368668 hasConcept C145804949 @default.
• W3204368668 hasConcept C146978453 @default.
• W3204368668 hasConcept C147176958 @default.
• W3204368668 hasConcept C150217764 @default.
• W3204368668 hasConcept C151730666 @default.
• W3204368668 hasConcept C154945302 @default.
• W3204368668 hasConcept C22212356 @default.
• W3204368668 hasConcept C2779343474 @default.
• W3204368668 hasConcept C2779888511 @default.
• W3204368668 hasConcept C33923547 @default.
• W3204368668 hasConcept C41008148 @default.
• W3204368668 hasConcept C44154836 @default.
• W3204368668 hasConcept C47796450 @default.
• W3204368668 hasConcept C50644808 @default.
• W3204368668 hasConcept C60908668 @default.
• W3204368668 hasConcept C81363708 @default.
• W3204368668 hasConcept C86803240 @default.
• W3204368668 hasConceptScore W3204368668C105795698 @default.
• W3204368668 hasConceptScore W3204368668C119857082 @default.
• W3204368668 hasConceptScore W3204368668C12267149 @default.
• W3204368668 hasConceptScore W3204368668C124101348 @default.
• W3204368668 hasConceptScore W3204368668C127413603 @default.
• W3204368668 hasConceptScore W3204368668C139945424 @default.
• W3204368668 hasConceptScore W3204368668C145804949 @default.
• W3204368668 hasConceptScore W3204368668C146978453 @default.
• W3204368668 hasConceptScore W3204368668C147176958 @default.
• W3204368668 hasConceptScore W3204368668C150217764 @default.
• W3204368668 hasConceptScore W3204368668C151730666 @default.
• W3204368668 hasConceptScore W3204368668C154945302 @default.
• W3204368668 hasConceptScore W3204368668C22212356 @default.
• W3204368668 hasConceptScore W3204368668C2779343474 @default.
• W3204368668 hasConceptScore W3204368668C2779888511 @default.
• W3204368668 hasConceptScore W3204368668C33923547 @default.
• W3204368668 hasConceptScore W3204368668C41008148 @default.
• W3204368668 hasConceptScore W3204368668C44154836 @default.
• W3204368668 hasConceptScore W3204368668C47796450 @default.
• W3204368668 hasConceptScore W3204368668C50644808 @default.
• W3204368668 hasConceptScore W3204368668C60908668 @default.
• W3204368668 hasConceptScore W3204368668C81363708 @default.
• W3204368668 hasConceptScore W3204368668C86803240 @default.
• W3204368668 hasFunder F4320321001 @default.
• W3204368668 hasIssue "7" @default.
• W3204368668 hasLocation W32043686681 @default.
• W3204368668 hasOpenAccess W3204368668 @default.
• W3204368668 hasPrimaryLocation W32043686681 @default.
• W3204368668 hasRelatedWork W1996541855 @default.
• W3204368668 hasRelatedWork W2008453766 @default.
• W3204368668 hasRelatedWork W2023904223 @default.

• next