Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Gan, Qijian"'
Accurate and reliable prediction of traffic measurements plays a crucial role in the development of modern intelligent transportation systems. Due to more complex road geometries and the presence of signal control, arterial traffic prediction is a le
Externí odkaz:
http://arxiv.org/abs/2012.13479
Autor:
Diaz, Keith Anshilo, Dailisan, Damian, Sharaf, Umang, Santos, Carissa, Gan, Qijian, Uy, Francis Aldrine, Lim, May T., Bayen, Alexandre M.
Coordinating intersections in arterial networks is critical to the performance of urban transportation systems. Deep reinforcement learning (RL) has gained traction in traffic control research along with data-driven approaches for traffic control sys
Externí odkaz:
http://arxiv.org/abs/2008.02691
This paper develops boundary observer for estimation of congested freeway traffic states based on Aw-Rascle-Zhang (ARZ) partial differential equations (PDE) model. Traffic state estimation refers to acquisition of traffic state information from parti
Externí odkaz:
http://arxiv.org/abs/1906.04012
Publikováno v:
In Transportation Research Part C November 2018 96:160-169
Publikováno v:
In Transportation Research Part D March 2018 59:289-300
Publikováno v:
In Transportation Research Part B February 2018 108:39-54
Akademický článek
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Publikováno v:
Gan, Qijian PhD; & Skabardonis, Alexander PhD. (2019). Arterial Traffic Estimation Using Field Detector and Signal Phasing Data. UC Office of the President: Institute of Transportation Studies. Retrieved from: http://www.escholarship.org/uc/item/7g5532jh
In this project, a novel approach has been developed to estimate the traffic states on arterial road links controlled by signalized intersections using both loop detector data and signal phasing information. We derived a trapezoidal fundamental diagr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::da1b1e13e077d54c06ce252cbdf454f9
http://www.escholarship.org/uc/item/7g5532jh
http://www.escholarship.org/uc/item/7g5532jh
Akademický článek
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