Matches in SemOpenAlex for { <https://semopenalex.org/work/W2948367887> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2948367887 abstract "At present, shared e-cars have become an important part of traffic in scenic spots. While shared e-cars bring convenience to tourists, they also exert a certain influence on the management of the traffic environment in scenic spots. Nowadays, the threshold for shared e-cars is low, and all business operators occupy the market share of the scenic spots and put the shared-cars on the market without plans. This behavior takes up the limited space, exacerbating the congestion of scenic space. Therefore, predicting the amount of shared e-cars to be supplied by a scenic spot in the near future accurately is of great significance for major business entities to do resource scheduling, reduce operating costs, and create an open and coordinated traffic environment in smart scenic spots. However, the traditional time-series prediction models such as AutoRegressive and Moving Average Model, Holt-Winters, and Long ShortTerm Memory can only be used for short-term rough predictions, and cannot be available under some special circumstances such as holidays or rush hours. In our work, we proposed EB-Boost, an ensemble learning method using feature coding based on target. The EB-Boost studied from historical data such as weather data, timestamp data and business data and established probability model and learned relationship between features and targets. We used the data of shared e-cars operated by Roboy Technology company to build a model, and compared the prediction results of EB-Boost with traditional time-series algorithms and neural network algorithms. Finally, we also discuss the robustness of the model and the predictive effect of shared e-cars in other scenic spots." @default.
- W2948367887 created "2019-06-14" @default.
- W2948367887 creator A5004393324 @default.
- W2948367887 creator A5009399590 @default.
- W2948367887 creator A5021651601 @default.
- W2948367887 creator A5022239593 @default.
- W2948367887 creator A5022640627 @default.
- W2948367887 creator A5073139098 @default.
- W2948367887 creator A5075877965 @default.
- W2948367887 date "2018-07-01" @default.
- W2948367887 modified "2023-09-24" @default.
- W2948367887 title "EB-Boost: Medium-Long Term Forecasting Method of Supplies of Shared E-Cars in Smart Scenic Spots" @default.
- W2948367887 cites W1494853941 @default.
- W2948367887 cites W1570713908 @default.
- W2948367887 cites W1976580265 @default.
- W2948367887 cites W1990836268 @default.
- W2948367887 cites W2075826079 @default.
- W2948367887 cites W2112076978 @default.
- W2948367887 cites W2154458738 @default.
- W2948367887 cites W2165466912 @default.
- W2948367887 cites W2541929603 @default.
- W2948367887 cites W2568760887 @default.
- W2948367887 cites W2762239547 @default.
- W2948367887 doi "https://doi.org/10.1109/cybermatics_2018.2018.00130" @default.
- W2948367887 hasPublicationYear "2018" @default.
- W2948367887 type Work @default.
- W2948367887 sameAs 2948367887 @default.
- W2948367887 citedByCount "1" @default.
- W2948367887 countsByYear W29483678872019 @default.
- W2948367887 crossrefType "proceedings-article" @default.
- W2948367887 hasAuthorship W2948367887A5004393324 @default.
- W2948367887 hasAuthorship W2948367887A5009399590 @default.
- W2948367887 hasAuthorship W2948367887A5021651601 @default.
- W2948367887 hasAuthorship W2948367887A5022239593 @default.
- W2948367887 hasAuthorship W2948367887A5022640627 @default.
- W2948367887 hasAuthorship W2948367887A5073139098 @default.
- W2948367887 hasAuthorship W2948367887A5075877965 @default.
- W2948367887 hasConcept C105795698 @default.
- W2948367887 hasConcept C113954288 @default.
- W2948367887 hasConcept C116188536 @default.
- W2948367887 hasConcept C119857082 @default.
- W2948367887 hasConcept C124101348 @default.
- W2948367887 hasConcept C127413603 @default.
- W2948367887 hasConcept C151406439 @default.
- W2948367887 hasConcept C179518139 @default.
- W2948367887 hasConcept C199360897 @default.
- W2948367887 hasConcept C206729178 @default.
- W2948367887 hasConcept C21547014 @default.
- W2948367887 hasConcept C33923547 @default.
- W2948367887 hasConcept C41008148 @default.
- W2948367887 hasConcept C42475967 @default.
- W2948367887 hasConcept C79403827 @default.
- W2948367887 hasConceptScore W2948367887C105795698 @default.
- W2948367887 hasConceptScore W2948367887C113954288 @default.
- W2948367887 hasConceptScore W2948367887C116188536 @default.
- W2948367887 hasConceptScore W2948367887C119857082 @default.
- W2948367887 hasConceptScore W2948367887C124101348 @default.
- W2948367887 hasConceptScore W2948367887C127413603 @default.
- W2948367887 hasConceptScore W2948367887C151406439 @default.
- W2948367887 hasConceptScore W2948367887C179518139 @default.
- W2948367887 hasConceptScore W2948367887C199360897 @default.
- W2948367887 hasConceptScore W2948367887C206729178 @default.
- W2948367887 hasConceptScore W2948367887C21547014 @default.
- W2948367887 hasConceptScore W2948367887C33923547 @default.
- W2948367887 hasConceptScore W2948367887C41008148 @default.
- W2948367887 hasConceptScore W2948367887C42475967 @default.
- W2948367887 hasConceptScore W2948367887C79403827 @default.
- W2948367887 hasLocation W29483678871 @default.
- W2948367887 hasOpenAccess W2948367887 @default.
- W2948367887 hasPrimaryLocation W29483678871 @default.
- W2948367887 hasRelatedWork W182288598 @default.
- W2948367887 hasRelatedWork W2005579235 @default.
- W2948367887 hasRelatedWork W2082309082 @default.
- W2948367887 hasRelatedWork W2561792118 @default.
- W2948367887 hasRelatedWork W2621163540 @default.
- W2948367887 hasRelatedWork W2760319503 @default.
- W2948367887 hasRelatedWork W2766311542 @default.
- W2948367887 hasRelatedWork W2900682747 @default.
- W2948367887 hasRelatedWork W2966733592 @default.
- W2948367887 hasRelatedWork W2968385797 @default.
- W2948367887 hasRelatedWork W2981393394 @default.
- W2948367887 hasRelatedWork W3005230236 @default.
- W2948367887 hasRelatedWork W3163739395 @default.
- W2948367887 hasRelatedWork W3177040396 @default.
- W2948367887 hasRelatedWork W3199447102 @default.
- W2948367887 hasRelatedWork W3207097050 @default.
- W2948367887 hasRelatedWork W3209537729 @default.
- W2948367887 hasRelatedWork W563848595 @default.
- W2948367887 hasRelatedWork W589663988 @default.
- W2948367887 hasRelatedWork W657542977 @default.
- W2948367887 isParatext "false" @default.
- W2948367887 isRetracted "false" @default.
- W2948367887 magId "2948367887" @default.
- W2948367887 workType "article" @default.