Matches in SemOpenAlex for { <https://semopenalex.org/work/W1924188793> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W1924188793 abstract "As an important information for traffic condition evaluation, trip planning, transportation management, etc., average travel speed for a road means the average speed of vehicles travelling through this road in a given time duration. Traditional ways for collecting travel-speed oriented traffic data always depend on dedicated sensors and supporting infrastructures, and are therefore financial costly. Differently, vehicular crowdsensing as an infrastructure-free way, can be used to collect data including real-time locations and velocities of vehicles for road travel speed estimation, which is a quite low-cost way. However, vehicular crowdsensing data is always coarse-grained. This coarseness can lead to the incompleteness of travel speeds. Aiming to handle this problem as well as estimate travel speed accurately, in this paper, we propose an approach named STC that exploits the spatial-temporal correlation among travel speeds for roads by introducing the time-lagged cross correlation function. The time lagging factor describes the time consumption of traffic feature diffusion along roads. To properly calculate cross correlation, we novelly make the determination of the time lagging factor self-adaptive by recording the locations of vehicles at different roads. Then, utilizing the local stationarity of cross correlation, we further reduce the problem of single-road travel speed vacancy completion to a minimization problem. Finally, we fill all the vacancies of travel speed for roads in a recursive way using the geometric structure of road net. Elaborate experiments based on real taxi trace data show that STC can settle the incompleteness problem of vehicle crowdsensing data based travel speed estimation and ensure the accuracy of estimated travel speed better, in comparison with representative existing methods such as KNN, Kriging and ARIMA." @default.
- W1924188793 created "2016-06-24" @default.
- W1924188793 creator A5013045071 @default.
- W1924188793 creator A5061899878 @default.
- W1924188793 creator A5066099338 @default.
- W1924188793 date "2015-04-17" @default.
- W1924188793 modified "2023-09-27" @default.
- W1924188793 title "STC: Coarse-Grained Vehicular Data Based Travel Speed Sensing by Leveraging Spatial-Temporal Correlation" @default.
- W1924188793 cites W1975091065 @default.
- W1924188793 cites W1977647505 @default.
- W1924188793 cites W2015146073 @default.
- W1924188793 cites W2036242803 @default.
- W1924188793 cites W2039479710 @default.
- W1924188793 cites W2074984119 @default.
- W1924188793 cites W2082017338 @default.
- W1924188793 cites W2105934661 @default.
- W1924188793 cites W2106229734 @default.
- W1924188793 cites W2156096270 @default.
- W1924188793 hasPublicationYear "2015" @default.
- W1924188793 type Work @default.
- W1924188793 sameAs 1924188793 @default.
- W1924188793 citedByCount "0" @default.
- W1924188793 crossrefType "posted-content" @default.
- W1924188793 hasAuthorship W1924188793A5013045071 @default.
- W1924188793 hasAuthorship W1924188793A5061899878 @default.
- W1924188793 hasAuthorship W1924188793A5066099338 @default.
- W1924188793 hasConcept C105795698 @default.
- W1924188793 hasConcept C127413603 @default.
- W1924188793 hasConcept C147764199 @default.
- W1924188793 hasConcept C150060386 @default.
- W1924188793 hasConcept C199360897 @default.
- W1924188793 hasConcept C22212356 @default.
- W1924188793 hasConcept C2776962539 @default.
- W1924188793 hasConcept C2985733770 @default.
- W1924188793 hasConcept C33923547 @default.
- W1924188793 hasConcept C41008148 @default.
- W1924188793 hasConcept C76155785 @default.
- W1924188793 hasConcept C79403827 @default.
- W1924188793 hasConceptScore W1924188793C105795698 @default.
- W1924188793 hasConceptScore W1924188793C127413603 @default.
- W1924188793 hasConceptScore W1924188793C147764199 @default.
- W1924188793 hasConceptScore W1924188793C150060386 @default.
- W1924188793 hasConceptScore W1924188793C199360897 @default.
- W1924188793 hasConceptScore W1924188793C22212356 @default.
- W1924188793 hasConceptScore W1924188793C2776962539 @default.
- W1924188793 hasConceptScore W1924188793C2985733770 @default.
- W1924188793 hasConceptScore W1924188793C33923547 @default.
- W1924188793 hasConceptScore W1924188793C41008148 @default.
- W1924188793 hasConceptScore W1924188793C76155785 @default.
- W1924188793 hasConceptScore W1924188793C79403827 @default.
- W1924188793 hasLocation W19241887931 @default.
- W1924188793 hasOpenAccess W1924188793 @default.
- W1924188793 hasPrimaryLocation W19241887931 @default.
- W1924188793 hasRelatedWork W1587664780 @default.
- W1924188793 hasRelatedWork W2155366014 @default.
- W1924188793 hasRelatedWork W2376179181 @default.
- W1924188793 hasRelatedWork W241938445 @default.
- W1924188793 hasRelatedWork W2513652521 @default.
- W1924188793 hasRelatedWork W2587237669 @default.
- W1924188793 hasRelatedWork W2749954505 @default.
- W1924188793 hasRelatedWork W2914492118 @default.
- W1924188793 hasRelatedWork W2991525018 @default.
- W1924188793 hasRelatedWork W3090011481 @default.
- W1924188793 hasRelatedWork W3152786299 @default.
- W1924188793 hasRelatedWork W32049254 @default.
- W1924188793 hasRelatedWork W564938703 @default.
- W1924188793 hasRelatedWork W605113028 @default.
- W1924188793 hasRelatedWork W838159112 @default.
- W1924188793 hasRelatedWork W181579521 @default.
- W1924188793 hasRelatedWork W2155808461 @default.
- W1924188793 hasRelatedWork W2554388867 @default.
- W1924188793 hasRelatedWork W2877729135 @default.
- W1924188793 hasRelatedWork W2962643801 @default.
- W1924188793 isParatext "false" @default.
- W1924188793 isRetracted "false" @default.
- W1924188793 magId "1924188793" @default.
- W1924188793 workType "article" @default.