Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rask, Eric"'
Highway traffic modeling and forecasting approaches are critical for intelligent transportation systems. Recently, deep-learning-based traffic forecasting methods have emerged as state of the art for a wide range of traffic forecasting tasks. However
Externí odkaz:
http://arxiv.org/abs/2004.08038
Publikováno v:
Transportation Research Record (2020)
Traffic forecasting approaches are critical to developing adaptive strategies for mobility. Traffic patterns have complex spatial and temporal dependencies that make accurate forecasting on large highway networks a challenging task. Recently, diffusi
Externí odkaz:
http://arxiv.org/abs/1909.11197
Publikováno v:
SAE International Journal of Fuels and Lubricants, 2014 Jun 01. 7(2), 427-435.
Externí odkaz:
https://www.jstor.org/stable/26273034
Publikováno v:
SAE International Journal of Alternative Powertrains, 2014 May 01. 3(1), 36-43.
Externí odkaz:
https://www.jstor.org/stable/26169036
Publikováno v:
SAE International Journal of Alternative Powertrains, 2014 May 01. 3(1), 44-55.
Externí odkaz:
https://www.jstor.org/stable/26169037
Publikováno v:
SAE International Journal of Alternative Powertrains, 2013 Jul 01. 2(2), 350-361.
Externí odkaz:
https://www.jstor.org/stable/26169018
Autor:
Minarcin, Monika, Rask, Eric
Publikováno v:
SAE International Journal of Alternative Powertrains, 2012 Jun 01. 1(1)
Externí odkaz:
https://www.jstor.org/stable/26168973
Publikováno v:
SAE International Journal of Engines, 2011 Jan 01. 4(1), 1007-1019.
Externí odkaz:
https://www.jstor.org/stable/26278202
Autor:
Rask, Eric, Sellnau, Mark
Publikováno v:
SAE Transactions, 2004 Jan 01. 113, 821-832.
Externí odkaz:
https://www.jstor.org/stable/44723555
Autor:
Sellnau, Mark, Rask, Eric
Publikováno v:
SAE Transactions, 2003 Jan 01. 112, 135-151.
Externí odkaz:
https://www.jstor.org/stable/44741261