Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200566118> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W4200566118 endingPage "307" @default.
- W4200566118 startingPage "287" @default.
- W4200566118 abstract "Abstract With the rapid development of metro systems, it has become increasingly important to study phenomena such as passenger flow distribution and passenger boarding behavior. It is difficult for existing methods to accurately describe actual situations and to extend to the whole metro system due to the limitations from parameter uncertainties in their mathematical models. In this article, we propose a passenger‐to‐train assignment model to evaluate the probabilities of individual passengers boarding each feasible train for both no‐transfer and one‐transfer situations. This model can be used to understand passenger flows and crowdedness. The input parameters of the model include the probabilities that the passengers take each train and the probability distribution of egress time, which is the time to walk to the tap‐out fare gate after alighting from the train. We present the likelihood method to estimate these parameters based on data from the automatic fare collection and automatic vehicle location systems. This method can construct several nonparametric density estimates without assuming the parametric form of the distribution of egress time. The EM algorithm is used to compute the maximum likelihood estimates. Simulation results indicate that the proposed estimates perform well. By applying our method to real data in Beijing metro system, we can identify different passenger flow patterns between peak and off‐peak hours." @default.
- W4200566118 created "2021-12-31" @default.
- W4200566118 creator A5022277397 @default.
- W4200566118 creator A5022791475 @default.
- W4200566118 creator A5052917303 @default.
- W4200566118 creator A5087921361 @default.
- W4200566118 creator A5088716214 @default.
- W4200566118 date "2021-12-23" @default.
- W4200566118 modified "2023-10-18" @default.
- W4200566118 title "Statistical estimation in passenger‐to‐train assignment models based on automated data" @default.
- W4200566118 cites W1906759472 @default.
- W4200566118 cites W2014268383 @default.
- W4200566118 cites W2034767804 @default.
- W4200566118 cites W2044985623 @default.
- W4200566118 cites W2053742104 @default.
- W4200566118 cites W2078614528 @default.
- W4200566118 cites W2116718775 @default.
- W4200566118 cites W2162870748 @default.
- W4200566118 cites W2400471308 @default.
- W4200566118 cites W2556647056 @default.
- W4200566118 cites W2586155987 @default.
- W4200566118 cites W2611856457 @default.
- W4200566118 cites W2627077498 @default.
- W4200566118 cites W2927454765 @default.
- W4200566118 cites W2979840691 @default.
- W4200566118 cites W3023962223 @default.
- W4200566118 cites W4237236652 @default.
- W4200566118 doi "https://doi.org/10.1002/asmb.2660" @default.
- W4200566118 hasPublicationYear "2021" @default.
- W4200566118 type Work @default.
- W4200566118 citedByCount "3" @default.
- W4200566118 countsByYear W42005661182022 @default.
- W4200566118 countsByYear W42005661182023 @default.
- W4200566118 crossrefType "journal-article" @default.
- W4200566118 hasAuthorship W4200566118A5022277397 @default.
- W4200566118 hasAuthorship W4200566118A5022791475 @default.
- W4200566118 hasAuthorship W4200566118A5052917303 @default.
- W4200566118 hasAuthorship W4200566118A5087921361 @default.
- W4200566118 hasAuthorship W4200566118A5088716214 @default.
- W4200566118 hasConcept C102366305 @default.
- W4200566118 hasConcept C105795698 @default.
- W4200566118 hasConcept C117251300 @default.
- W4200566118 hasConcept C127413603 @default.
- W4200566118 hasConcept C149441793 @default.
- W4200566118 hasConcept C173608175 @default.
- W4200566118 hasConcept C17744445 @default.
- W4200566118 hasConcept C191935318 @default.
- W4200566118 hasConcept C199539241 @default.
- W4200566118 hasConcept C22212356 @default.
- W4200566118 hasConcept C2776175482 @default.
- W4200566118 hasConcept C2778304055 @default.
- W4200566118 hasConcept C2779214396 @default.
- W4200566118 hasConcept C33923547 @default.
- W4200566118 hasConcept C41008148 @default.
- W4200566118 hasConceptScore W4200566118C102366305 @default.
- W4200566118 hasConceptScore W4200566118C105795698 @default.
- W4200566118 hasConceptScore W4200566118C117251300 @default.
- W4200566118 hasConceptScore W4200566118C127413603 @default.
- W4200566118 hasConceptScore W4200566118C149441793 @default.
- W4200566118 hasConceptScore W4200566118C173608175 @default.
- W4200566118 hasConceptScore W4200566118C17744445 @default.
- W4200566118 hasConceptScore W4200566118C191935318 @default.
- W4200566118 hasConceptScore W4200566118C199539241 @default.
- W4200566118 hasConceptScore W4200566118C22212356 @default.
- W4200566118 hasConceptScore W4200566118C2776175482 @default.
- W4200566118 hasConceptScore W4200566118C2778304055 @default.
- W4200566118 hasConceptScore W4200566118C2779214396 @default.
- W4200566118 hasConceptScore W4200566118C33923547 @default.
- W4200566118 hasConceptScore W4200566118C41008148 @default.
- W4200566118 hasFunder F4320306076 @default.
- W4200566118 hasFunder F4320321001 @default.
- W4200566118 hasIssue "2" @default.
- W4200566118 hasLocation W42005661181 @default.
- W4200566118 hasOpenAccess W4200566118 @default.
- W4200566118 hasPrimaryLocation W42005661181 @default.
- W4200566118 hasRelatedWork W1485223389 @default.
- W4200566118 hasRelatedWork W1979697693 @default.
- W4200566118 hasRelatedWork W1981436518 @default.
- W4200566118 hasRelatedWork W2011903341 @default.
- W4200566118 hasRelatedWork W2013882407 @default.
- W4200566118 hasRelatedWork W2096947471 @default.
- W4200566118 hasRelatedWork W2401523190 @default.
- W4200566118 hasRelatedWork W2529605301 @default.
- W4200566118 hasRelatedWork W2897428363 @default.
- W4200566118 hasRelatedWork W3176503054 @default.
- W4200566118 hasVolume "38" @default.
- W4200566118 isParatext "false" @default.
- W4200566118 isRetracted "false" @default.
- W4200566118 workType "article" @default.