Matches in SemOpenAlex for { <https://semopenalex.org/work/W2952568980> ?p ?o ?g. }
- W2952568980 endingPage "3146" @default.
- W2952568980 startingPage "3133" @default.
- W2952568980 abstract "We present an interactive visual analytics system that enables traffic congestion exploration, surveillance, and forecasting based on vehicle detector data. Through domain expert collaboration, we have extracted task requirements, incorporated the Long Short-Term Memory (LSTM) model for congestion forecasting, and designed a weighting method for detecting the causes of congestion and congestion propagation directions. Our visual analytics system is designed to enable users to explore congestion causes, directions, and severity. Congestion conditions of a city are visualized using a Volume-Speed Rivers (VSRivers) visualization that simultaneously presents traffic volumes and speeds. To evaluate our system, we report performance comparison results, wherein our model is more accurate than other forecasting algorithms. We demonstrate the usefulness of our system in the traffic management and congestion broadcasting domains through three case studies and domain expert feedback." @default.
- W2952568980 created "2019-06-27" @default.
- W2952568980 creator A5011946442 @default.
- W2952568980 creator A5018584803 @default.
- W2952568980 creator A5020791375 @default.
- W2952568980 creator A5026203914 @default.
- W2952568980 creator A5026799813 @default.
- W2952568980 creator A5029790391 @default.
- W2952568980 creator A5066368974 @default.
- W2952568980 date "2020-11-01" @default.
- W2952568980 modified "2023-09-29" @default.
- W2952568980 title "A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion" @default.
- W2952568980 cites W1488841676 @default.
- W2952568980 cites W1530064153 @default.
- W2952568980 cites W1914475855 @default.
- W2952568980 cites W1948868775 @default.
- W2952568980 cites W1964811435 @default.
- W2952568980 cites W1967444754 @default.
- W2952568980 cites W1974061452 @default.
- W2952568980 cites W1988726303 @default.
- W2952568980 cites W2004353783 @default.
- W2952568980 cites W2008102069 @default.
- W2952568980 cites W2010900220 @default.
- W2952568980 cites W2021705019 @default.
- W2952568980 cites W2023199012 @default.
- W2952568980 cites W2023835067 @default.
- W2952568980 cites W2040297119 @default.
- W2952568980 cites W2045420802 @default.
- W2952568980 cites W2056638635 @default.
- W2952568980 cites W2064675550 @default.
- W2952568980 cites W2081139127 @default.
- W2952568980 cites W2085592822 @default.
- W2952568980 cites W2090747210 @default.
- W2952568980 cites W2096087071 @default.
- W2952568980 cites W2103927771 @default.
- W2952568980 cites W2108196201 @default.
- W2952568980 cites W2111991989 @default.
- W2952568980 cites W2116873850 @default.
- W2952568980 cites W2126415191 @default.
- W2952568980 cites W2157588821 @default.
- W2952568980 cites W2165991108 @default.
- W2952568980 cites W2176149189 @default.
- W2952568980 cites W2181446242 @default.
- W2952568980 cites W2203975508 @default.
- W2952568980 cites W2331597354 @default.
- W2952568980 cites W2462625002 @default.
- W2952568980 cites W2507941764 @default.
- W2952568980 cites W2573587735 @default.
- W2952568980 cites W2605190822 @default.
- W2952568980 cites W2612872092 @default.
- W2952568980 cites W2613331518 @default.
- W2952568980 cites W2624190409 @default.
- W2952568980 cites W2626706700 @default.
- W2952568980 cites W2724431948 @default.
- W2952568980 cites W2763572577 @default.
- W2952568980 cites W2919115771 @default.
- W2952568980 cites W2963224980 @default.
- W2952568980 cites W3104097132 @default.
- W2952568980 cites W4238404964 @default.
- W2952568980 doi "https://doi.org/10.1109/tvcg.2019.2922597" @default.
- W2952568980 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31199260" @default.
- W2952568980 hasPublicationYear "2020" @default.
- W2952568980 type Work @default.
- W2952568980 sameAs 2952568980 @default.
- W2952568980 citedByCount "55" @default.
- W2952568980 countsByYear W29525689802020 @default.
- W2952568980 countsByYear W29525689802021 @default.
- W2952568980 countsByYear W29525689802022 @default.
- W2952568980 countsByYear W29525689802023 @default.
- W2952568980 crossrefType "journal-article" @default.
- W2952568980 hasAuthorship W2952568980A5011946442 @default.
- W2952568980 hasAuthorship W2952568980A5018584803 @default.
- W2952568980 hasAuthorship W2952568980A5020791375 @default.
- W2952568980 hasAuthorship W2952568980A5026203914 @default.
- W2952568980 hasAuthorship W2952568980A5026799813 @default.
- W2952568980 hasAuthorship W2952568980A5029790391 @default.
- W2952568980 hasAuthorship W2952568980A5066368974 @default.
- W2952568980 hasConcept C124101348 @default.
- W2952568980 hasConcept C126838900 @default.
- W2952568980 hasConcept C127413603 @default.
- W2952568980 hasConcept C134306372 @default.
- W2952568980 hasConcept C183115368 @default.
- W2952568980 hasConcept C22212356 @default.
- W2952568980 hasConcept C2779888511 @default.
- W2952568980 hasConcept C33923547 @default.
- W2952568980 hasConcept C36464697 @default.
- W2952568980 hasConcept C36503486 @default.
- W2952568980 hasConcept C41008148 @default.
- W2952568980 hasConcept C59732488 @default.
- W2952568980 hasConcept C71924100 @default.
- W2952568980 hasConcept C79158427 @default.
- W2952568980 hasConcept C79403827 @default.
- W2952568980 hasConceptScore W2952568980C124101348 @default.
- W2952568980 hasConceptScore W2952568980C126838900 @default.
- W2952568980 hasConceptScore W2952568980C127413603 @default.
- W2952568980 hasConceptScore W2952568980C134306372 @default.
- W2952568980 hasConceptScore W2952568980C183115368 @default.
- W2952568980 hasConceptScore W2952568980C22212356 @default.