Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896723564> ?p ?o ?g. }
Showing items 1 to 58 of
58
with 100 items per page.
- W2896723564 abstract "Traffic assignment is an integral part of urban city planning. Roads and freeways are constructed to cater to the expected demands of the commuters between different origin-destination pairs with the overall objective of minimizing the travel cost. As compared to static traffic assignment problems where the traffic network is fixed over time, a dynamic traffic network is more realistic where the network’s cost parameters change over time due to the presence of random congestion. In this paper, we consider a stochastic version of the traffic assignment problem where the central planner is interested in finding an optimal social flow in the presence of random users. These users are random and cannot be controlled by any central directives. We propose a Frank-Wolfe algorithm based stochastic algorithm to determine the socially optimal flow for the stochastic setting in an online manner. Further, simulation results corroborate the efficacy of the proposed algorithm." @default.
- W2896723564 created "2018-10-26" @default.
- W2896723564 creator A5007246073 @default.
- W2896723564 creator A5024655511 @default.
- W2896723564 creator A5039563144 @default.
- W2896723564 creator A5062586036 @default.
- W2896723564 creator A5073023548 @default.
- W2896723564 date "2018-12-01" @default.
- W2896723564 modified "2023-10-16" @default.
- W2896723564 title "On Socially Optimal Traffic Flow in the Presence of Random Users" @default.
- W2896723564 cites W1993544082 @default.
- W2896723564 cites W1994616650 @default.
- W2896723564 cites W1998278955 @default.
- W2896723564 cites W2003912133 @default.
- W2896723564 cites W2020909452 @default.
- W2896723564 cites W2073239084 @default.
- W2896723564 cites W2235269566 @default.
- W2896723564 cites W4205841652 @default.
- W2896723564 doi "https://doi.org/10.1109/ants.2018.8710156" @default.
- W2896723564 hasPublicationYear "2018" @default.
- W2896723564 type Work @default.
- W2896723564 sameAs 2896723564 @default.
- W2896723564 citedByCount "5" @default.
- W2896723564 countsByYear W28967235642019 @default.
- W2896723564 countsByYear W28967235642021 @default.
- W2896723564 crossrefType "proceedings-article" @default.
- W2896723564 hasAuthorship W2896723564A5007246073 @default.
- W2896723564 hasAuthorship W2896723564A5024655511 @default.
- W2896723564 hasAuthorship W2896723564A5039563144 @default.
- W2896723564 hasAuthorship W2896723564A5062586036 @default.
- W2896723564 hasAuthorship W2896723564A5073023548 @default.
- W2896723564 hasBestOaLocation W28967235642 @default.
- W2896723564 hasConcept C121332964 @default.
- W2896723564 hasConcept C38349280 @default.
- W2896723564 hasConcept C41008148 @default.
- W2896723564 hasConcept C57879066 @default.
- W2896723564 hasConceptScore W2896723564C121332964 @default.
- W2896723564 hasConceptScore W2896723564C38349280 @default.
- W2896723564 hasConceptScore W2896723564C41008148 @default.
- W2896723564 hasConceptScore W2896723564C57879066 @default.
- W2896723564 hasLocation W28967235641 @default.
- W2896723564 hasLocation W28967235642 @default.
- W2896723564 hasOpenAccess W2896723564 @default.
- W2896723564 hasPrimaryLocation W28967235641 @default.
- W2896723564 hasRelatedWork W2093578348 @default.
- W2896723564 hasRelatedWork W2350741829 @default.
- W2896723564 hasRelatedWork W2358668433 @default.
- W2896723564 hasRelatedWork W2376932109 @default.
- W2896723564 hasRelatedWork W2382290278 @default.
- W2896723564 hasRelatedWork W2390279801 @default.
- W2896723564 hasRelatedWork W2748952813 @default.
- W2896723564 hasRelatedWork W2766271392 @default.
- W2896723564 hasRelatedWork W2899084033 @default.
- W2896723564 hasRelatedWork W3004735627 @default.
- W2896723564 isParatext "false" @default.
- W2896723564 isRetracted "false" @default.
- W2896723564 magId "2896723564" @default.
- W2896723564 workType "article" @default.