FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3095979891> ?p ?o ?g. }

• W3095979891 endingPage "14" @default.
• W3095979891 startingPage "1" @default.
• W3095979891 abstract "Road link speed is one of the important indicators for traffic states. In order to incorporate the spatiotemporal dynamics and correlation characteristics of road links into speed prediction, this paper proposes a method based on LDA and GCN. First, we construct a trajectory dataset from map-matched GPS location data of taxis. Then, we use the LDA algorithm to extract the semantic function vectors of urban zones and quantify the spatial dynamic characteristics of road links based on taxi trajectories. Finally, we add semantic function vectors to the dataset and train a graph convolutional network to learn the spatial and temporal dependencies of road links. The learned model is used to predict the future speed of road links. The proposed method is compared with six baseline models on the same dataset generated by GPS equipped on taxis in Shenzhen, China, and the results show that our method has better prediction performance when semantic zoning information is added. Both composite and single-valued semantic zoning information can improve the performance of graph convolutional networks by 6.46% and 8.35%, respectively, while the baseline machine learning models work only for single-valued semantic zoning information on the experimental dataset." @default.
• W3095979891 created "2020-11-09" @default.
• W3095979891 creator A5014213683 @default.
• W3095979891 creator A5014630017 @default.
• W3095979891 creator A5041950576 @default.
• W3095979891 creator A5058393676 @default.
• W3095979891 creator A5074065765 @default.
• W3095979891 date "2020-11-07" @default.
• W3095979891 modified "2023-10-12" @default.
• W3095979891 title "Integrating Semantic Zoning Information with the Prediction of Road Link Speed Based on Taxi GPS Data" @default.
• W3095979891 cites W1971421925 @default.
• W3095979891 cites W1972269447 @default.
• W3095979891 cites W1989742824 @default.
• W3095979891 cites W1991770012 @default.
• W3095979891 cites W2016119545 @default.
• W3095979891 cites W2089458547 @default.
• W3095979891 cites W2146950091 @default.
• W3095979891 cites W2314047201 @default.
• W3095979891 cites W2410667704 @default.
• W3095979891 cites W2483705917 @default.
• W3095979891 cites W2579495707 @default.
• W3095979891 cites W2611382369 @default.
• W3095979891 cites W2612872092 @default.
• W3095979891 cites W2785860503 @default.
• W3095979891 cites W2793343370 @default.
• W3095979891 cites W2795051817 @default.
• W3095979891 cites W2885930230 @default.
• W3095979891 cites W2888850755 @default.
• W3095979891 cites W2890672150 @default.
• W3095979891 cites W2903871660 @default.
• W3095979891 cites W2905214059 @default.
• W3095979891 cites W2913535562 @default.
• W3095979891 cites W2976979941 @default.
• W3095979891 cites W2978202285 @default.
• W3095979891 cites W2978449012 @default.
• W3095979891 cites W3011638589 @default.
• W3095979891 cites W3012264837 @default.
• W3095979891 cites W3018119453 @default.
• W3095979891 cites W3123652461 @default.
• W3095979891 cites W3149700931 @default.
• W3095979891 cites W976226029 @default.
• W3095979891 doi "https://doi.org/10.1155/2020/6939328" @default.
• W3095979891 hasPublicationYear "2020" @default.
• W3095979891 type Work @default.
• W3095979891 sameAs 3095979891 @default.
• W3095979891 citedByCount "5" @default.
• W3095979891 countsByYear W30959798912022 @default.
• W3095979891 crossrefType "journal-article" @default.
• W3095979891 hasAuthorship W3095979891A5014213683 @default.
• W3095979891 hasAuthorship W3095979891A5014630017 @default.
• W3095979891 hasAuthorship W3095979891A5041950576 @default.
• W3095979891 hasAuthorship W3095979891A5058393676 @default.
• W3095979891 hasAuthorship W3095979891A5074065765 @default.
• W3095979891 hasBestOaLocation W30959798911 @default.
• W3095979891 hasConcept C111368507 @default.
• W3095979891 hasConcept C124101348 @default.
• W3095979891 hasConcept C12725497 @default.
• W3095979891 hasConcept C127313418 @default.
• W3095979891 hasConcept C127413603 @default.
• W3095979891 hasConcept C132525143 @default.
• W3095979891 hasConcept C154945302 @default.
• W3095979891 hasConcept C183373512 @default.
• W3095979891 hasConcept C22212356 @default.
• W3095979891 hasConcept C41008148 @default.
• W3095979891 hasConcept C60229501 @default.
• W3095979891 hasConcept C76155785 @default.
• W3095979891 hasConcept C80444323 @default.
• W3095979891 hasConceptScore W3095979891C111368507 @default.
• W3095979891 hasConceptScore W3095979891C124101348 @default.
• W3095979891 hasConceptScore W3095979891C12725497 @default.
• W3095979891 hasConceptScore W3095979891C127313418 @default.
• W3095979891 hasConceptScore W3095979891C127413603 @default.
• W3095979891 hasConceptScore W3095979891C132525143 @default.
• W3095979891 hasConceptScore W3095979891C154945302 @default.
• W3095979891 hasConceptScore W3095979891C183373512 @default.
• W3095979891 hasConceptScore W3095979891C22212356 @default.
• W3095979891 hasConceptScore W3095979891C41008148 @default.
• W3095979891 hasConceptScore W3095979891C60229501 @default.
• W3095979891 hasConceptScore W3095979891C76155785 @default.
• W3095979891 hasConceptScore W3095979891C80444323 @default.
• W3095979891 hasFunder F4320321001 @default.
• W3095979891 hasLocation W30959798911 @default.
• W3095979891 hasOpenAccess W3095979891 @default.
• W3095979891 hasPrimaryLocation W30959798911 @default.
• W3095979891 hasRelatedWork W1060630276 @default.
• W3095979891 hasRelatedWork W1977392656 @default.
• W3095979891 hasRelatedWork W2060086883 @default.
• W3095979891 hasRelatedWork W2077132656 @default.
• W3095979891 hasRelatedWork W2114323843 @default.
• W3095979891 hasRelatedWork W2353863641 @default.
• W3095979891 hasRelatedWork W2358645956 @default.
• W3095979891 hasRelatedWork W2366041105 @default.
• W3095979891 hasRelatedWork W2391956340 @default.
• W3095979891 hasRelatedWork W262913824 @default.
• W3095979891 hasVolume "2020" @default.
• W3095979891 isParatext "false" @default.
• W3095979891 isRetracted "false" @default.
• W3095979891 magId "3095979891" @default.

• next