Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Panagiotis Fafoutellis"'
Publikováno v:
International Journal of Transportation Science and Technology, Vol 14, Iss , Pp 171-185 (2024)
In this paper, a meaningful representation of the road network using multiplex networks and a novel feature selection framework that enhances the predictability of future traffic conditions of an entire network are proposed. Using data on traffic vol
Externí odkaz:
https://doaj.org/article/761b5e4acd64486d8dce5f55e238b5ba
Publikováno v:
International Journal of Transportation Science and Technology, Vol 11, Iss 4, Pp 752-766 (2022)
Research on the factors that may affect the future uptake of autonomous Mobiliyt on Demand (MoD) services are today more than ever relevant. In this paper, we attempt to investigate all aspects of acceptability of a proposed Autonomous-MoD service (A
Externí odkaz:
https://doaj.org/article/ff2bf67b804c4e4e855cefb95dc4e36f
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 16, Iss , Pp 100692- (2022)
New mobility-on-demand services together with the emerging technology of autonomous vehicles (AV) aim to revolutionize urban transportation systems, by introducing autonomous driving and sophisticated sharing and routing schemes for efficiently servi
Externí odkaz:
https://doaj.org/article/47ec6aae0d7349f8afd8e43e31c890e2
Publikováno v:
International Journal of Transportation Science and Technology. 11:752-766
Research on the factors that may affect the future uptake of autonomous Mobiliyt on Demand (MoD) services are today more than ever relevant. In this paper, we attempt to investigate all aspects of acceptability of a proposed Autonomous-MoD service (A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cef5f7de98db8fabaac72a7dc0cef79
https://doi.org/10.1016/j.ijtst.2021.10.003
https://doi.org/10.1016/j.ijtst.2021.10.003
Publikováno v:
International Journal of Transportation Science and Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97d77f87e39cffb2ed51783fe3eb9bc
https://doi.org/10.1016/j.ijtst.2023.04.006
https://doi.org/10.1016/j.ijtst.2023.04.006
Publikováno v:
Journal of Big Data Analytics in Transportation. 4:73-84
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e28ffdad4054019d2b0d37ae3a7f1a0
https://doi.org/10.1007/s42421-022-00055-6
https://doi.org/10.1007/s42421-022-00055-6
Publikováno v:
Transportation Research Part A: Policy and Practice. 156:270-284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fad394188b4aac6bd1dc7e0a5f5b4e81
https://doi.org/10.1016/j.tra.2022.01.009
https://doi.org/10.1016/j.tra.2022.01.009
Autor:
Emmanouil Ph. Kampitakis, Panagiotis Fafoutellis, Georgeta-Madalina Oprea, Eleni I. Vlahogianni
Publikováno v:
Transportation Research Part C: Emerging Technologies. 150:104104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::864097fb3aa0c65317c0b4c1074763ea
https://doi.org/10.1016/j.trc.2023.104104
https://doi.org/10.1016/j.trc.2023.104104
Publikováno v:
Sustainability, Vol 13, Iss 226, p 226 (2021)
Eco-driving is a multidimensional concept that includes driving behavior, route selection and all other choices or behaviors related to the vehicles’ fuel consumption (e.g., the use of quality fuel, the use of air conditioning, driving at peak hour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::388eb3b3aee1d8bff96b3aede3ab76d1
https://www.mdpi.com/2071-1050/13/1/226
https://www.mdpi.com/2071-1050/13/1/226
Publikováno v:
ITSC
Short-term traffic forecasting is anticipated as an always evolving research topic, boosted by the tremendous recent advances of Machine Learning and Deep Learning, as well as computational power of modern PCs. In this paper, the Dilated Recurrent Ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf4de7d2ad0cd118235f727a93ddec0b
https://doi.org/10.1109/itsc45102.2020.9294752
https://doi.org/10.1109/itsc45102.2020.9294752