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Dispatching of Flex-Route Transit Based on Forecasted Demand Probabilities Using DeepAR and Bayesian Inference

dc.contributor.authorJin, Mingyue
dc.contributor.authorPang, Mingbao
dc.date.accessioned2026-08-20T20:54:30Z
dc.date.available2026-08-20T20:54:30Z
dc.date.copyright2025/06/09
dc.date.issued2025
dc.identifier.otherJTEPBS.TEENG-9074.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313654
dc.description.abstractAbstractThis work aims to investigate the dispatching of flex-route transit (FRT) based on the forecasted demand probabilities by integrating history data and real-time appointment information. An operating FRT line is used as the studied object, where ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDispatching of Flex-Route Transit Based on Forecasted Demand Probabilities Using DeepAR and Bayesian Inference
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue8
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-9074
dc.journal.fristpage04025060-1
dc.journal.lastpage04025060-14
dc.page14
dc.treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 008
dc.contenttypeFulltext


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