Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yuming Ou"'
Publikováno v:
Transportation Research Part C: Emerging Technologies. 114:377-390
© 2020 Elsevier Ltd Customer booking prediction is essential for On-Demand Transport services, especially for those in rural and suburban areas where the demand is low, variable and often regarded as unpredictable. Existing literature tends to focus
Autor:
Dong Zhao, Adriana-Simona Mihaita, Yuming Ou, Sajjad Shafiei, Hanna Grzybowska, Kai Qin, Gary Tan, Mo Li, Hussein Dia
A multi-modal transport system is acknowledged to have robust failure tolerance and can effectively relieve urban congestion issues. However, estimating the impact of disruptions across multi-transport modes is a challenging problem due to a dis-aggr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76b49847f5f5e572c6dc49961aba6bd5
https://hdl.handle.net/10453/164822
https://hdl.handle.net/10453/164822
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Humanity Driven AI ISBN: 9783030721879
Humanity Driven AI
Humanity Driven AI
Over the 40 years since its debut, computer-aided teaching and learning have grown from novelty to near pervasive, with a host of dynamic interactive digital systems underpinning many aspects of the modern student experience. While potentially transf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad049dd13d5c4dcc33376b35895a1e47
https://doi.org/10.1007/978-3-030-72188-6_12
https://doi.org/10.1007/978-3-030-72188-6_12
Autor:
Yuming Ou
Publikováno v:
Humanity Driven AI ISBN: 9783030721879
Humanity Driven AI
Humanity Driven AI
In order to address this research problem, we propose an approach to predict bus travel time using realtime bus GPS ... can support traffic congestion management by providing the information of real-time bus arrival time and delay.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64240ff94c609dceb7ba21e47673860
https://doi.org/10.1007/978-3-030-72188-6_4
https://doi.org/10.1007/978-3-030-72188-6_4
Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21391fe2c64f9de184791eec4f58ae0
https://hdl.handle.net/10453/154127
https://hdl.handle.net/10453/154127
Reliability and punctuality are the key evaluation criteria in railway service for both passengers and operators. Delays spanning over spatial and temporal dimensions significantly affect the reliability and punctuality level of train operation. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9024190741b54e0f46a9e2db7ce7ed6f
https://hdl.handle.net/10453/156140
https://hdl.handle.net/10453/156140
Publikováno v:
ITSC
Understanding real-time train occupancy is a critical problem for public transport management, especially in the service disruption scenarios. To address this problem, this paper proposes a public transport passenger assignment method for estimating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef4f37b491f6b031fcc8855cc7eecd64
https://hdl.handle.net/10453/145584
https://hdl.handle.net/10453/145584
Transit market segmentation enables transit providers to comprehend the commonalities and heterogeneities among different groups of passengers, so that they can cater for individual transit riders’ mobility needs. The problem has recently been attr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acf57a7d29f0e72fa72538928eb7018d
https://hdl.handle.net/10453/161271
https://hdl.handle.net/10453/161271