FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3137633810> ?p ?o ?g. }

• W3137633810 endingPage "102448" @default.
• W3137633810 startingPage "102448" @default.
• W3137633810 abstract "Ride-hailing systems with electric autonomous vehicles are recognized as a next-generation development to ease congestion, reduce costs and carbon emissions. In this paper, we consider the operation planning problem involving vehicle dispatching, relocation, and recharging decisions. We model the problem as a Markov Decision Process (MDP) to generate the optimal policy that maximizes the total profits. We propose a flexible policy to provide optimal actions according to the reward considering future requests and vehicle availability. We show that our model outperforms the predetermined rules on improving profits. To handle the curse-of-dimensionality caused by the large scale of state space and uncertainty, we develop an asynchronous learning method to solve the problem by approximating the value function. We first draw the samples of exogenous information and update the quality of approximations based on the quality of decisions, then approximate the exact cost-to-go value function by solving an approximation subproblem efficiently given the state at each period. Two variant algorithms are presented for cases with scarce and sufficient information. We also incorporate the state aggregation and post-decision analysis to further improve computational efficiency. We use a set of shared actual data from Didi platform to verify the proposed model in numerical experiments. To conclude, we extract managerial insights that suggest important guidelines for the ride-hailing operations planning problem." @default.
• W3137633810 created "2021-03-29" @default.
• W3137633810 creator A5013528391 @default.
• W3137633810 creator A5021628816 @default.
• W3137633810 creator A5023043261 @default.
• W3137633810 creator A5046063716 @default.
• W3137633810 date "2021-09-01" @default.
• W3137633810 modified "2023-10-01" @default.
• W3137633810 title "Optimal operations planning of electric autonomous vehicles via asynchronous learning in ride-hailing systems" @default.
• W3137633810 cites W1660348267 @default.
• W3137633810 cites W1988963644 @default.
• W3137633810 cites W1995059581 @default.
• W3137633810 cites W2002946775 @default.
• W3137633810 cites W2031128290 @default.
• W3137633810 cites W2054367744 @default.
• W3137633810 cites W2065004605 @default.
• W3137633810 cites W2088528187 @default.
• W3137633810 cites W2149052950 @default.
• W3137633810 cites W2154614311 @default.
• W3137633810 cites W2163599294 @default.
• W3137633810 cites W2171890636 @default.
• W3137633810 cites W2198072198 @default.
• W3137633810 cites W2399782206 @default.
• W3137633810 cites W2462780152 @default.
• W3137633810 cites W2500521937 @default.
• W3137633810 cites W2554127530 @default.
• W3137633810 cites W2565919573 @default.
• W3137633810 cites W2576376475 @default.
• W3137633810 cites W2584267730 @default.
• W3137633810 cites W2593952959 @default.
• W3137633810 cites W2616138986 @default.
• W3137633810 cites W2731786593 @default.
• W3137633810 cites W2765859232 @default.
• W3137633810 cites W2773417106 @default.
• W3137633810 cites W2792987450 @default.
• W3137633810 cites W2803952469 @default.
• W3137633810 cites W2905257503 @default.
• W3137633810 cites W2909452395 @default.
• W3137633810 cites W2909875311 @default.
• W3137633810 cites W2917278327 @default.
• W3137633810 cites W2921638490 @default.
• W3137633810 cites W2962543312 @default.
• W3137633810 cites W2966237140 @default.
• W3137633810 cites W3002585184 @default.
• W3137633810 cites W3012667494 @default.
• W3137633810 cites W3023047096 @default.
• W3137633810 cites W3120440647 @default.
• W3137633810 cites W3121411472 @default.
• W3137633810 doi "https://doi.org/10.1016/j.omega.2021.102448" @default.
• W3137633810 hasPublicationYear "2021" @default.
• W3137633810 type Work @default.
• W3137633810 sameAs 3137633810 @default.
• W3137633810 citedByCount "6" @default.
• W3137633810 countsByYear W31376338102021 @default.
• W3137633810 countsByYear W31376338102022 @default.
• W3137633810 countsByYear W31376338102023 @default.
• W3137633810 crossrefType "journal-article" @default.
• W3137633810 hasAuthorship W3137633810A5013528391 @default.
• W3137633810 hasAuthorship W3137633810A5021628816 @default.
• W3137633810 hasAuthorship W3137633810A5023043261 @default.
• W3137633810 hasAuthorship W3137633810A5046063716 @default.
• W3137633810 hasConcept C105795698 @default.
• W3137633810 hasConcept C106189395 @default.
• W3137633810 hasConcept C111030470 @default.
• W3137633810 hasConcept C111472728 @default.
• W3137633810 hasConcept C111919701 @default.
• W3137633810 hasConcept C115988155 @default.
• W3137633810 hasConcept C126255220 @default.
• W3137633810 hasConcept C127413603 @default.
• W3137633810 hasConcept C138885662 @default.
• W3137633810 hasConcept C14036430 @default.
• W3137633810 hasConcept C14646407 @default.
• W3137633810 hasConcept C151319957 @default.
• W3137633810 hasConcept C154945302 @default.
• W3137633810 hasConcept C159886148 @default.
• W3137633810 hasConcept C173801870 @default.
• W3137633810 hasConcept C177264268 @default.
• W3137633810 hasConcept C199360897 @default.
• W3137633810 hasConcept C2779530757 @default.
• W3137633810 hasConcept C31258907 @default.
• W3137633810 hasConcept C33923547 @default.
• W3137633810 hasConcept C41008148 @default.
• W3137633810 hasConcept C42475967 @default.
• W3137633810 hasConcept C72434380 @default.
• W3137633810 hasConcept C78458016 @default.
• W3137633810 hasConcept C86803240 @default.
• W3137633810 hasConcept C98045186 @default.
• W3137633810 hasConceptScore W3137633810C105795698 @default.
• W3137633810 hasConceptScore W3137633810C106189395 @default.
• W3137633810 hasConceptScore W3137633810C111030470 @default.
• W3137633810 hasConceptScore W3137633810C111472728 @default.
• W3137633810 hasConceptScore W3137633810C111919701 @default.
• W3137633810 hasConceptScore W3137633810C115988155 @default.
• W3137633810 hasConceptScore W3137633810C126255220 @default.
• W3137633810 hasConceptScore W3137633810C127413603 @default.
• W3137633810 hasConceptScore W3137633810C138885662 @default.
• W3137633810 hasConceptScore W3137633810C14036430 @default.
• W3137633810 hasConceptScore W3137633810C14646407 @default.

• next