Zobrazeno 1 - 10
of 16
pro vyhledávání: '"SHUMO CUI"'
Publikováno v:
SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 5, pA2899-A2924, 26p
Publikováno v:
SIAM Journal on Numerical Analysis; 2024, Vol. 62 Issue 2, p775-810, 36p
Autor:
Shumo Cui, Jonathan Sprinkle, Hannah Pohlmann, Miles Churchill, Benedetto Piccoli, Maria Laura Delle Monache, Rahul Bhadani, R’mani Haulcy, Daniel B. Work, Matt Bunting, Nathaniel Hamilton, Fangyu Wu, Benjamin Seibold, Raphael Stern
Publikováno v:
Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
Transportation research. Part C, Emerging technologies, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2018, 89, pp.205-221. ⟨10.1016/j.trc.2018.02.005⟩
International audience; Traffic waves are phenomena that emerge when the vehicular density exceeds a critical threshold. Considering the presence of increasingly automated vehicles in the traffic stream, a number of research activities have focused o
Publikováno v:
The SMAI journal of computational mathematics. 3:139-180
Autor:
Matthew Bunting, Benedetto Piccoli, Shumo Cui, Raphael Stern, Jonathan Sprinkle, Benjamin Seibold, Daniel B. Work, Rahul Bhadani
Publikováno v:
ICCPS
In this paper we describe an experience report and field deployment of real-time filtering algorithms used with a robotic vehicle to smooth emergent traffic waves. When smoothing these waves in simulation, a common approach is to implement controller
Autor:
Raphael Stern, Shumo Cui, Matt Bunting, R’mani Haulcy, Daniel B. Work, Miles Churchill, Fangyu Wu, Maria Laura Delle Monache, Jonathan Sprinkle, Benjamin Seibold, Nathaniel Hamilton, Benedetto Piccoli, Rahul Bhadani
Publikováno v:
Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
Transportation research. Part C, Emerging technologies, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
Transportation research. Part C, Emerging technologies, Elsevier, 2019, 99, pp.82-109. ⟨10.1016/j.trc.2018.12.012⟩
International audience; High-fidelity vehicle trajectory data is becoming increasingly important in traffic modeling, especially to capture dynamic features such as stop-and-go waves. This article presents data collected in a series of eight experime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164ff976cfd1707f859de22e3193dbe5
https://inria.hal.science/hal-01614665
https://inria.hal.science/hal-01614665
Publikováno v:
Applied Numerical Mathematics. 93:123-139
We numerically study convection-diffusion equations arising in financial modeling. We focus on the convection-dominated cases, in which the diffusion coefficients are relatively small. Both finite-difference and Monte-Carlo methods which are widely u
Publikováno v:
International Journal for Numerical Methods in Fluids. 78:355-383
Summary Shallow water models are widely used to describe and study free-surface water flow. While in some practical applications the bottom friction does not have much influence on the solutions, there are still many applications, where the bottom fr
Steady State and Sign Preserving Semi-Implicit Runge--Kutta Methods for ODEs with Stiff Damping Term
Publikováno v:
SIAM Journal on Numerical Analysis. 53:2008-2029
In this paper, we develop a family of second-order semi-implicit time integration methods for systems of ordinary differential equations (ODEs) with stiff damping term. The important feature of the new methods resides in the fact that they are capabl
Publikováno v:
Intelligent Vehicles Symposium
In certain flow regimes, the ideal uniform vehicle flow on the road is unstable, and stop-and-go traffic develops. The instability that leads to this less fuel-efficient unsteady flow results from the collective behavior of all human drivers. This wo