Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Pinlong Cai"'
Publikováno v:
Green Energy and Intelligent Transportation, Vol 3, Iss 2, Pp 100159- (2024)
Improving the capacity of intersections is the key to enhancing road traffic systems. Benefiting from the application of Connected Automated Vehicles (CAVs) in the foreseeing future, it is promising to fully utilize spatiotemporal resources at inters
Externí odkaz:
https://doaj.org/article/afa5db435a0a45499f6cb763e130fb3e
Publikováno v:
Journal of Intelligent and Connected Vehicles, Vol 6, Iss 2, Pp 91-101 (2023)
Connected Automated Vehicles (CAVs) have drawn much attention in recent years. High reliable automatic technologies can help CAVs to follow given trajectories well. However, safety and efficiency are hard to be ensured since the interactions between
Externí odkaz:
https://doaj.org/article/b3dd01ca90d946198efcdfda92633fac
Autor:
Pinlong Cai, Guangquan Lu
Publikováno v:
Journal of Transportation Engineering. Part A. Systems; Nov2023, Vol. 149 Issue 11, p1-10, 10p
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cdde99cef930bd6a2057f2d9d46f5ea
https://doi.org/10.1109/itsc55140.2022.9922057
https://doi.org/10.1109/itsc55140.2022.9922057
Publikováno v:
Physica A: Statistical Mechanics and its Applications. :128914
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fb00fec18fc0dd6b923c5bb21cb5666
https://doi.org/10.1016/j.physa.2023.128914
https://doi.org/10.1016/j.physa.2023.128914
Publikováno v:
Transportation Research Part C: Emerging Technologies. 111:458-476
Connected automated vehicles (CAVs) have been currently considered as promising solutions for realization of envisioned autonomous traffic management systems in the future. CAVs can achieve high desired traffic efficiency and provide safe, energy-sav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ea5070738ef9f40b449ee0bd5635685
https://doi.org/10.1016/j.trc.2019.12.018
https://doi.org/10.1016/j.trc.2019.12.018
Autor:
Peng CHEN, Chuan DING, Junjie ZHANG, Guangquan LU, Rongjian DAI, Pinlong CAI, Lei WEI, Qian LIU, Xu HAN
Publikováno v:
Intelligent Road Transport Systems ISBN: 9789811657757
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7e3461e0e65bb0ab39873b82ec51ca9
https://doi.org/10.1007/978-981-16-5776-4_9
https://doi.org/10.1007/978-981-16-5776-4_9
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:4134-4144
The application of short-term traffic forecasting can guide the operation of traffic networks efficiently and reduce the traffic cost for travelers. On the basis of radial basis function (RBF) neural network, this paper introduces a tunable and trans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f0d942a6f2b95f85de8fdb8aa006fb4
https://doi.org/10.1109/tits.2018.2882814
https://doi.org/10.1109/tits.2018.2882814
Publikováno v:
CICTP 2019.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::364c200650f756f8f47313cc365beabf
https://doi.org/10.1061/9780784482292.478
https://doi.org/10.1061/9780784482292.478