Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yifei Suo"'
Publikováno v:
Railway Sciences, Vol 3, Iss 6, Pp 684-703 (2024)
Purpose – The volume of passenger traffic at metro transfer stations serves as a pivotal metric for the orchestration of crowd flow management. Given the intricacies of crowd dynamics within these stations and the recurrent instances of substantial
Externí odkaz:
https://doaj.org/article/3db594f56b564388b46e87733ea7b978
Publikováno v:
IEEE Access, Vol 10, Pp 107022-107031 (2022)
Accurate, timely, and reliable traffic flow prediction is essential for an intelligent transportation system due to the complex spatio-temporal correlation of traffic flow. The prediction model based on graph convolution neural network (GCN) has beco
Externí odkaz:
https://doaj.org/article/169fdda55f59488c8099cf0d47e5152a
Publikováno v:
2021 6th International Conference on Transportation Information and Safety (ICTIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95071094ef8288f007e828a7c3c70406
https://doi.org/10.1109/ictis54573.2021.9798593
https://doi.org/10.1109/ictis54573.2021.9798593
Publikováno v:
Sustainability (2071-1050); Sep2023, Vol. 15 Issue 17, p12690, 18p
Publikováno v:
Railway Sciences, 2024, Vol. 3, Issue 6, pp. 684-703.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RS-08-2024-0033