Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Xinkai Ji"'
Publikováno v:
IEEE Access, Vol 9, Pp 7460-7470 (2021)
The macroscopic traffic flow model is the cornerstone of traffic flow theory and can be applied to investigate manytraffic planning and management issues. However, the macroscopic model of the heterogeneous traffic flow has not been profoundly studie
Externí odkaz:
https://doaj.org/article/751d5ca44fb04ab3880191ec799a491e
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:17632-17643
Publikováno v:
Journal of Transportation Engineering. Part A. Systems; Nov2023, Vol. 149 Issue 11, p1-14, 14p
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:122-141
This paper proposes a new dynamic driving risk potential field model under the connected and automated vehicles environment that fully considers the dynamic effect of the vehicle's acceleration and steering angle. The statistical analysis of the mode
Publikováno v:
IEEE Access, Vol 9, Pp 7460-7470 (2021)
The macroscopic traffic flow model is the cornerstone of traffic flow theory and can be applied to investigate manytraffic planning and management issues. However, the macroscopic model of the heterogeneous traffic flow has not been profoundly studie
Autor:
Anlin Ma, Xiumian Hu, Garzanti, Eduardo, Pullen, Alex, BouDagher-Fadel, Marcelle, Xinkai Ji, Jiangang Wang, Wen Lai, Weiwei Xue
Publikováno v:
Tectonics; Mar2023, Vol. 42 Issue 3, p1-23, 23p
Publikováno v:
ITSC
Accurate vehicle position data is essential information for active traffic management in connected freeway. Traffic data of connected vehicles can be collected in real time while the one of the human drive vehicle have to be estimated in connected en
Publikováno v:
CICTP 2017.
Publikováno v:
SPIE Proceedings.
Nowadays, intelligent transportation system (ITS) has already become the new direction of transportation development. Traffic data, as a fundamental part of intelligent transportation system, is having a more and more crucial status. In recent years,
Autor:
Zsombor Ritter, Katalin Zámbó, Péter Balogh, Dávid Szöllősi, Xinkai Jia, Ákos Balázs, Gabriella Taba, Dániel Dezső, Ildikó Horváth, Hussain Alizadeh, David Tuch, Kunal Vyas, Nikolett Hegedűs, Tibor Kovács, Krisztián Szigeti, Domokos Máthé, Erzsébet Schmidt
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Cerenkov luminescence imaging (CLI) is a promising approach to image-guided surgery and pathological sampling. It could offer additional advantages when combined to whole-body isotope tomographies. We aimed to obtain evidence of its applicab
Externí odkaz:
https://doaj.org/article/bf8c185e79d04c8081d7d09622418fce