Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790707130> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2790707130 abstract "With the steep increase of heavy-duty transportation, more fuel efficient technologies and services have become of great importance due to their environmental impact (in terms of CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions) and economical impact (costs for the fleet managers). This work addresses the problem of finding the less expensive itinerary among several ones provided by a Geographic Information System (GIS). The problem focuses on the prediction of a speed profile as realistic and as representative of the route as possible and physically feasible for a truck. The novelty of the proposed tool lies on the precise understanding of the road as well as on the study of the vehicle's parameters impact on the fuel consumption. This work is of great interest for a truck fleet manager wanting to quantify the fuel cost of the trip's external conditions while varying for instance the truck's cargo." @default.
- W2790707130 created "2018-03-29" @default.
- W2790707130 creator A5025988960 @default.
- W2790707130 creator A5069821610 @default.
- W2790707130 creator A5072597907 @default.
- W2790707130 date "2017-10-01" @default.
- W2790707130 modified "2023-10-01" @default.
- W2790707130 title "Fuel consumption prediction for heavy-duty vehicles using digital maps" @default.
- W2790707130 cites W1559311185 @default.
- W2790707130 cites W1589221021 @default.
- W2790707130 cites W1941866442 @default.
- W2790707130 cites W2012271167 @default.
- W2790707130 cites W2064530577 @default.
- W2790707130 cites W2089080831 @default.
- W2790707130 cites W2109606373 @default.
- W2790707130 cites W2127279945 @default.
- W2790707130 cites W2136465235 @default.
- W2790707130 cites W2284859742 @default.
- W2790707130 cites W2292177088 @default.
- W2790707130 cites W2509165878 @default.
- W2790707130 cites W2518938565 @default.
- W2790707130 cites W2548289300 @default.
- W2790707130 cites W2588604770 @default.
- W2790707130 cites W4235093618 @default.
- W2790707130 doi "https://doi.org/10.1109/itsc.2017.8317613" @default.
- W2790707130 hasPublicationYear "2017" @default.
- W2790707130 type Work @default.
- W2790707130 sameAs 2790707130 @default.
- W2790707130 citedByCount "14" @default.
- W2790707130 countsByYear W27907071302018 @default.
- W2790707130 countsByYear W27907071302019 @default.
- W2790707130 countsByYear W27907071302020 @default.
- W2790707130 countsByYear W27907071302021 @default.
- W2790707130 countsByYear W27907071302022 @default.
- W2790707130 countsByYear W27907071302023 @default.
- W2790707130 crossrefType "proceedings-article" @default.
- W2790707130 hasAuthorship W2790707130A5025988960 @default.
- W2790707130 hasAuthorship W2790707130A5069821610 @default.
- W2790707130 hasAuthorship W2790707130A5072597907 @default.
- W2790707130 hasConcept C127413603 @default.
- W2790707130 hasConcept C138885662 @default.
- W2790707130 hasConcept C144024400 @default.
- W2790707130 hasConcept C171146098 @default.
- W2790707130 hasConcept C18762648 @default.
- W2790707130 hasConcept C22212356 @default.
- W2790707130 hasConcept C27206212 @default.
- W2790707130 hasConcept C2777305159 @default.
- W2790707130 hasConcept C2778738651 @default.
- W2790707130 hasConcept C2993573757 @default.
- W2790707130 hasConcept C30772137 @default.
- W2790707130 hasConcept C36289849 @default.
- W2790707130 hasConcept C41008148 @default.
- W2790707130 hasConcept C42475967 @default.
- W2790707130 hasConcept C45882903 @default.
- W2790707130 hasConcept C52121051 @default.
- W2790707130 hasConcept C76155785 @default.
- W2790707130 hasConcept C78519656 @default.
- W2790707130 hasConceptScore W2790707130C127413603 @default.
- W2790707130 hasConceptScore W2790707130C138885662 @default.
- W2790707130 hasConceptScore W2790707130C144024400 @default.
- W2790707130 hasConceptScore W2790707130C171146098 @default.
- W2790707130 hasConceptScore W2790707130C18762648 @default.
- W2790707130 hasConceptScore W2790707130C22212356 @default.
- W2790707130 hasConceptScore W2790707130C27206212 @default.
- W2790707130 hasConceptScore W2790707130C2777305159 @default.
- W2790707130 hasConceptScore W2790707130C2778738651 @default.
- W2790707130 hasConceptScore W2790707130C2993573757 @default.
- W2790707130 hasConceptScore W2790707130C30772137 @default.
- W2790707130 hasConceptScore W2790707130C36289849 @default.
- W2790707130 hasConceptScore W2790707130C41008148 @default.
- W2790707130 hasConceptScore W2790707130C42475967 @default.
- W2790707130 hasConceptScore W2790707130C45882903 @default.
- W2790707130 hasConceptScore W2790707130C52121051 @default.
- W2790707130 hasConceptScore W2790707130C76155785 @default.
- W2790707130 hasConceptScore W2790707130C78519656 @default.
- W2790707130 hasLocation W27907071301 @default.
- W2790707130 hasOpenAccess W2790707130 @default.
- W2790707130 hasPrimaryLocation W27907071301 @default.
- W2790707130 hasRelatedWork W1975656734 @default.
- W2790707130 hasRelatedWork W2026469137 @default.
- W2790707130 hasRelatedWork W2052859319 @default.
- W2790707130 hasRelatedWork W2070328428 @default.
- W2790707130 hasRelatedWork W2330849208 @default.
- W2790707130 hasRelatedWork W2349045494 @default.
- W2790707130 hasRelatedWork W2502281867 @default.
- W2790707130 hasRelatedWork W3186913256 @default.
- W2790707130 hasRelatedWork W4285265719 @default.
- W2790707130 hasRelatedWork W4378187816 @default.
- W2790707130 isParatext "false" @default.
- W2790707130 isRetracted "false" @default.
- W2790707130 magId "2790707130" @default.
- W2790707130 workType "article" @default.