Matches in SemOpenAlex for { <https://semopenalex.org/work/W4294690840> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4294690840 endingPage "942" @default.
- W4294690840 startingPage "938" @default.
- W4294690840 abstract "A digital twin is a mapping of real world objects in virtual space. For the study of traffic safety issues, digital twins have great potential to facilitate more accurate and detailed risk analysis. In this study, a digital twin method for highway driving safety analysis is proposed, which consists of three parts: Extracting vehicle motion information in the real world, constructing vehicle motion scenes in the virtual world, and analyzing vehicle driving risks. Firstly, aerial video of vehicle motion is captured by drone, while the microscopic vehicle trajectories are extracted from the video using machine vision algorithms. Secondly, the digital twin of vehicles and roads is constructed, while the motion behavior of vehicles is mapped in a digital space based on virtual physical simulation technology. Finally, according to the stability and trajectory deviation, the driving risks of the vehicle are evaluated, including sideslip, rollover, and guardrail collision. Through a case study, the effectiveness of the proposed digital twin method in driving risk assessment is verified, and one vehicle is found to have a higher driving risk." @default.
- W4294690840 created "2022-09-06" @default.
- W4294690840 creator A5024937582 @default.
- W4294690840 creator A5053204257 @default.
- W4294690840 creator A5069849278 @default.
- W4294690840 creator A5078812150 @default.
- W4294690840 creator A5084354953 @default.
- W4294690840 creator A5088141052 @default.
- W4294690840 date "2022-01-01" @default.
- W4294690840 modified "2023-10-03" @default.
- W4294690840 title "Digital Twin Analysis for Driving Risks Based on Virtual Physical Simulation Technology" @default.
- W4294690840 cites W1750160633 @default.
- W4294690840 cites W2027388158 @default.
- W4294690840 cites W3095889771 @default.
- W4294690840 cites W3097179527 @default.
- W4294690840 cites W3118292858 @default.
- W4294690840 cites W3141466727 @default.
- W4294690840 cites W3191042458 @default.
- W4294690840 cites W4220846564 @default.
- W4294690840 cites W4283761929 @default.
- W4294690840 cites W4291189455 @default.
- W4294690840 doi "https://doi.org/10.1109/jrfid.2022.3203694" @default.
- W4294690840 hasPublicationYear "2022" @default.
- W4294690840 type Work @default.
- W4294690840 citedByCount "1" @default.
- W4294690840 countsByYear W42946908402023 @default.
- W4294690840 crossrefType "journal-article" @default.
- W4294690840 hasAuthorship W4294690840A5024937582 @default.
- W4294690840 hasAuthorship W4294690840A5053204257 @default.
- W4294690840 hasAuthorship W4294690840A5069849278 @default.
- W4294690840 hasAuthorship W4294690840A5078812150 @default.
- W4294690840 hasAuthorship W4294690840A5084354953 @default.
- W4294690840 hasAuthorship W4294690840A5088141052 @default.
- W4294690840 hasConcept C104114177 @default.
- W4294690840 hasConcept C121332964 @default.
- W4294690840 hasConcept C1276947 @default.
- W4294690840 hasConcept C13662910 @default.
- W4294690840 hasConcept C136764020 @default.
- W4294690840 hasConcept C154945302 @default.
- W4294690840 hasConcept C161521259 @default.
- W4294690840 hasConcept C31972630 @default.
- W4294690840 hasConcept C41008148 @default.
- W4294690840 hasConcept C44154836 @default.
- W4294690840 hasConcept C54355233 @default.
- W4294690840 hasConcept C59519942 @default.
- W4294690840 hasConcept C86803240 @default.
- W4294690840 hasConceptScore W4294690840C104114177 @default.
- W4294690840 hasConceptScore W4294690840C121332964 @default.
- W4294690840 hasConceptScore W4294690840C1276947 @default.
- W4294690840 hasConceptScore W4294690840C13662910 @default.
- W4294690840 hasConceptScore W4294690840C136764020 @default.
- W4294690840 hasConceptScore W4294690840C154945302 @default.
- W4294690840 hasConceptScore W4294690840C161521259 @default.
- W4294690840 hasConceptScore W4294690840C31972630 @default.
- W4294690840 hasConceptScore W4294690840C41008148 @default.
- W4294690840 hasConceptScore W4294690840C44154836 @default.
- W4294690840 hasConceptScore W4294690840C54355233 @default.
- W4294690840 hasConceptScore W4294690840C59519942 @default.
- W4294690840 hasConceptScore W4294690840C86803240 @default.
- W4294690840 hasFunder F4320335777 @default.
- W4294690840 hasLocation W42946908401 @default.
- W4294690840 hasOpenAccess W4294690840 @default.
- W4294690840 hasPrimaryLocation W42946908401 @default.
- W4294690840 hasRelatedWork W1562288862 @default.
- W4294690840 hasRelatedWork W2000407620 @default.
- W4294690840 hasRelatedWork W2029249305 @default.
- W4294690840 hasRelatedWork W2095989223 @default.
- W4294690840 hasRelatedWork W2511137960 @default.
- W4294690840 hasRelatedWork W2687972263 @default.
- W4294690840 hasRelatedWork W3101676691 @default.
- W4294690840 hasRelatedWork W4224881325 @default.
- W4294690840 hasRelatedWork W4246474087 @default.
- W4294690840 hasRelatedWork W4312959403 @default.
- W4294690840 hasVolume "6" @default.
- W4294690840 isParatext "false" @default.
- W4294690840 isRetracted "false" @default.
- W4294690840 workType "article" @default.