Matches in SemOpenAlex for { <https://semopenalex.org/work/W3029687524> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3029687524 abstract "Origin-destination (OD) matrices are used widely in transportation and logistics to record the travel cost (e.g., travel speed or greenhouse gas emission) between pairs of OD regions during different intervals within a day. We model a travel cost as a distribution because when traveling between a pair of OD regions, different vehicles may travel at different speeds even during the same interval, e.g., due to different driving styles or different waiting times at intersections. This yields stochastic OD matrices. We consider an increasingly pertinent setting where a set of vehicle trips is used for instantiating OD matrices. Since the trips may not cover all OD pairs for each interval, the resulting OD matrices are likely to be sparse. We then address the problem of forecasting complete, near future OD matrices from sparse, historical OD matrices. To solve this problem, we propose a generic learning framework that (i) employs matrix factorization and graph convolutional neural networks to contend with the data sparseness while capturing spatial correlations and that (ii) captures spatio-temporal dynamics via recurrent neural networks extended with graph convolutions. Empirical studies using two taxi trajectory data sets offer detailed insight into the properties of the framework and indicate that it is effective." @default.
- W3029687524 created "2020-06-05" @default.
- W3029687524 creator A5020559625 @default.
- W3029687524 creator A5029380368 @default.
- W3029687524 creator A5067731925 @default.
- W3029687524 creator A5072309548 @default.
- W3029687524 creator A5084021933 @default.
- W3029687524 date "2020-04-01" @default.
- W3029687524 modified "2023-10-01" @default.
- W3029687524 title "Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks" @default.
- W3029687524 cites W1502922572 @default.
- W3029687524 cites W1915929007 @default.
- W3029687524 cites W2005854848 @default.
- W3029687524 cites W2008003976 @default.
- W3029687524 cites W2019459021 @default.
- W3029687524 cites W2069069662 @default.
- W3029687524 cites W2069929199 @default.
- W3029687524 cites W2125101937 @default.
- W3029687524 cites W2144475703 @default.
- W3029687524 cites W2172041433 @default.
- W3029687524 cites W2438218466 @default.
- W3029687524 cites W2525908418 @default.
- W3029687524 cites W2566236551 @default.
- W3029687524 cites W2573698050 @default.
- W3029687524 cites W2616545289 @default.
- W3029687524 cites W2768361919 @default.
- W3029687524 cites W2785409760 @default.
- W3029687524 cites W2795142517 @default.
- W3029687524 cites W2809128166 @default.
- W3029687524 cites W2809623940 @default.
- W3029687524 cites W2809923164 @default.
- W3029687524 cites W2833324965 @default.
- W3029687524 cites W2895979207 @default.
- W3029687524 cites W2897668826 @default.
- W3029687524 cites W2898247783 @default.
- W3029687524 cites W2950019211 @default.
- W3029687524 cites W2962834725 @default.
- W3029687524 cites W2964098640 @default.
- W3029687524 cites W2965981069 @default.
- W3029687524 cites W2987715998 @default.
- W3029687524 cites W3006002486 @default.
- W3029687524 doi "https://doi.org/10.1109/icde48307.2020.00126" @default.
- W3029687524 hasPublicationYear "2020" @default.
- W3029687524 type Work @default.
- W3029687524 sameAs 3029687524 @default.
- W3029687524 citedByCount "52" @default.
- W3029687524 countsByYear W30296875242020 @default.
- W3029687524 countsByYear W30296875242021 @default.
- W3029687524 countsByYear W30296875242022 @default.
- W3029687524 countsByYear W30296875242023 @default.
- W3029687524 crossrefType "proceedings-article" @default.
- W3029687524 hasAuthorship W3029687524A5020559625 @default.
- W3029687524 hasAuthorship W3029687524A5029380368 @default.
- W3029687524 hasAuthorship W3029687524A5067731925 @default.
- W3029687524 hasAuthorship W3029687524A5072309548 @default.
- W3029687524 hasAuthorship W3029687524A5084021933 @default.
- W3029687524 hasConcept C114614502 @default.
- W3029687524 hasConcept C121332964 @default.
- W3029687524 hasConcept C132525143 @default.
- W3029687524 hasConcept C158693339 @default.
- W3029687524 hasConcept C163716315 @default.
- W3029687524 hasConcept C2778067643 @default.
- W3029687524 hasConcept C33923547 @default.
- W3029687524 hasConcept C41008148 @default.
- W3029687524 hasConcept C42355184 @default.
- W3029687524 hasConcept C56372850 @default.
- W3029687524 hasConcept C62520636 @default.
- W3029687524 hasConcept C80444323 @default.
- W3029687524 hasConceptScore W3029687524C114614502 @default.
- W3029687524 hasConceptScore W3029687524C121332964 @default.
- W3029687524 hasConceptScore W3029687524C132525143 @default.
- W3029687524 hasConceptScore W3029687524C158693339 @default.
- W3029687524 hasConceptScore W3029687524C163716315 @default.
- W3029687524 hasConceptScore W3029687524C2778067643 @default.
- W3029687524 hasConceptScore W3029687524C33923547 @default.
- W3029687524 hasConceptScore W3029687524C41008148 @default.
- W3029687524 hasConceptScore W3029687524C42355184 @default.
- W3029687524 hasConceptScore W3029687524C56372850 @default.
- W3029687524 hasConceptScore W3029687524C62520636 @default.
- W3029687524 hasConceptScore W3029687524C80444323 @default.
- W3029687524 hasLocation W30296875241 @default.
- W3029687524 hasOpenAccess W3029687524 @default.
- W3029687524 hasPrimaryLocation W30296875241 @default.
- W3029687524 hasRelatedWork W12364739 @default.
- W3029687524 hasRelatedWork W1608965 @default.
- W3029687524 hasRelatedWork W1721622 @default.
- W3029687524 hasRelatedWork W2030648 @default.
- W3029687524 hasRelatedWork W3845813 @default.
- W3029687524 hasRelatedWork W440343 @default.
- W3029687524 hasRelatedWork W4549834 @default.
- W3029687524 hasRelatedWork W8608337 @default.
- W3029687524 hasRelatedWork W9401246 @default.
- W3029687524 hasRelatedWork W9610824 @default.
- W3029687524 isParatext "false" @default.
- W3029687524 isRetracted "false" @default.
- W3029687524 magId "3029687524" @default.
- W3029687524 workType "article" @default.