Matches in SemOpenAlex for { <https://semopenalex.org/work/W2051093092> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2051093092 endingPage "789" @default.
- W2051093092 startingPage "780" @default.
- W2051093092 abstract "PEDA: a Probabilistic Extension of Dijkstra's Algorithm is introduced.PEDA introduces probability distributions for assigning lengths and computing paths.In traffic flow, PEDA simulates that drivers do not have to know the optimal paths.The new ATISMART+ model for traffic simulations in a smart city is introduced.ATISMART+ produces more realistic simulations when using PEDA. Dijkstra's algorithm to solve the shortest path problem (SPP) is a very well-known algorithm. When applied to real situations, although the shortest path can be computed with Dijkstra's algorithm, it is not always the one that is chosen. In traffic situations, for example, the driver may not know the exact length of the lanes or the shortest path to follow. Even more compelling is the fact that although the driver knows the shortest route, he/she may prefer choosing a different route.In this paper we present the new algorithm PEDA (Probabilistic Extension of Dijkstra's Algorithm) which introduces probabilistic changes in the weight of the edges and also in the decisions when choosing the shortest path. When PEDA is applied to traffic flow, more realistic simulations, in which the shortest path is not always chosen, are obtained. This more accurately simulates the more normal behavior of drivers.As an example of an application, we introduce the ATISMART+ model, an extension of the ATISMART model, where an accelerated-time simulation of car traffic in a smart city was described. In that previous work, all cars in the system used Dijkstra's algorithm to choose improved ATISMART+ model, for accelerated time simulations of traffic flow in smart cities, uses the new PEDA algorithm. The results obtained show that ATISMART+ produces more realistic simulations considering different drivers' behaviors." @default.
- W2051093092 created "2016-06-24" @default.
- W2051093092 creator A5013666941 @default.
- W2051093092 creator A5050402697 @default.
- W2051093092 creator A5051609095 @default.
- W2051093092 creator A5082342030 @default.
- W2051093092 date "2015-09-01" @default.
- W2051093092 modified "2023-10-14" @default.
- W2051093092 title "A new Probabilistic Extension of Dijkstra’s Algorithm to simulate more realistic traffic flow in a smart city" @default.
- W2051093092 cites W1971087042 @default.
- W2051093092 cites W1994937951 @default.
- W2051093092 cites W2037520890 @default.
- W2051093092 cites W2056555906 @default.
- W2051093092 cites W2133292407 @default.
- W2051093092 cites W2169528473 @default.
- W2051093092 cites W3122700123 @default.
- W2051093092 doi "https://doi.org/10.1016/j.amc.2014.11.076" @default.
- W2051093092 hasPublicationYear "2015" @default.
- W2051093092 type Work @default.
- W2051093092 sameAs 2051093092 @default.
- W2051093092 citedByCount "16" @default.
- W2051093092 countsByYear W20510930922016 @default.
- W2051093092 countsByYear W20510930922017 @default.
- W2051093092 countsByYear W20510930922018 @default.
- W2051093092 countsByYear W20510930922019 @default.
- W2051093092 countsByYear W20510930922020 @default.
- W2051093092 countsByYear W20510930922021 @default.
- W2051093092 countsByYear W20510930922022 @default.
- W2051093092 countsByYear W20510930922023 @default.
- W2051093092 crossrefType "journal-article" @default.
- W2051093092 hasAuthorship W2051093092A5013666941 @default.
- W2051093092 hasAuthorship W2051093092A5050402697 @default.
- W2051093092 hasAuthorship W2051093092A5051609095 @default.
- W2051093092 hasAuthorship W2051093092A5082342030 @default.
- W2051093092 hasConcept C11413529 @default.
- W2051093092 hasConcept C132525143 @default.
- W2051093092 hasConcept C154945302 @default.
- W2051093092 hasConcept C173870130 @default.
- W2051093092 hasConcept C199360897 @default.
- W2051093092 hasConcept C22590252 @default.
- W2051093092 hasConcept C2524010 @default.
- W2051093092 hasConcept C2778029271 @default.
- W2051093092 hasConcept C33923547 @default.
- W2051093092 hasConcept C38349280 @default.
- W2051093092 hasConcept C41008148 @default.
- W2051093092 hasConcept C49937458 @default.
- W2051093092 hasConcept C80444323 @default.
- W2051093092 hasConceptScore W2051093092C11413529 @default.
- W2051093092 hasConceptScore W2051093092C132525143 @default.
- W2051093092 hasConceptScore W2051093092C154945302 @default.
- W2051093092 hasConceptScore W2051093092C173870130 @default.
- W2051093092 hasConceptScore W2051093092C199360897 @default.
- W2051093092 hasConceptScore W2051093092C22590252 @default.
- W2051093092 hasConceptScore W2051093092C2524010 @default.
- W2051093092 hasConceptScore W2051093092C2778029271 @default.
- W2051093092 hasConceptScore W2051093092C33923547 @default.
- W2051093092 hasConceptScore W2051093092C38349280 @default.
- W2051093092 hasConceptScore W2051093092C41008148 @default.
- W2051093092 hasConceptScore W2051093092C49937458 @default.
- W2051093092 hasConceptScore W2051093092C80444323 @default.
- W2051093092 hasLocation W20510930921 @default.
- W2051093092 hasOpenAccess W2051093092 @default.
- W2051093092 hasPrimaryLocation W20510930921 @default.
- W2051093092 hasRelatedWork W1575659177 @default.
- W2051093092 hasRelatedWork W1595546368 @default.
- W2051093092 hasRelatedWork W2004435960 @default.
- W2051093092 hasRelatedWork W2079965644 @default.
- W2051093092 hasRelatedWork W2081388881 @default.
- W2051093092 hasRelatedWork W2352495365 @default.
- W2051093092 hasRelatedWork W2359847778 @default.
- W2051093092 hasRelatedWork W2375280931 @default.
- W2051093092 hasRelatedWork W2468796127 @default.
- W2051093092 hasRelatedWork W4290792893 @default.
- W2051093092 hasVolume "267" @default.
- W2051093092 isParatext "false" @default.
- W2051093092 isRetracted "false" @default.
- W2051093092 magId "2051093092" @default.
- W2051093092 workType "article" @default.