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Showing papers by "Raul Borsche published in 2022"


Journal ArticleDOI
TL;DR: In this paper, the application of a recently introduced hierarchical description of traffic flow control by driver-assist vehicles to include lane changing dynamics is studied by means of Boltzmann-type equations determining three different hydrodynamics based on the lane switching frequency.
Abstract: We study the application of a recently introduced hierarchical description of traffic flow control by driver-assist vehicles to include lane changing dynamics. Lane-dependent feedback control strategies are implemented at the level of vehicles and the aggregate trends are studied by means of Boltzmann-type equations determining three different hydrodynamics based on the lane switching frequency. System of first order macroscopic equations describing the evolution of densities along the lanes are then consistently determined through a suitable closure strategy. Numerical examples are then presented to illustrate the features of the proposed hierarchical approach.

2 citations


Journal ArticleDOI
TL;DR: In this article , a high order scheme for advection equations allowing large time steps is proposed. But the MOOD technique is not suitable for real district heating networks, and the applicability to real networks is limited.
Abstract: Abstract Simulating the flow of water in district heating networks requires numerical methods which are independent of the CFL condition. We develop a high order scheme for networks of advection equations allowing large time steps. With the MOOD technique, unphysical oscillations of nonsmooth solutions are avoided. In numerical tests, the applicability to real networks is shown.

2 citations


Journal ArticleDOI
TL;DR: In this article , a high order scheme for advection equations allowing large time steps is proposed. But the MOOD technique is not suitable for real district heating networks, and the applicability to real networks is limited.
Abstract: Abstract Simulating the flow of water in district heating networks requires numerical methods which are independent of the CFL condition. We develop a high order scheme for networks of advection equations allowing large time steps. With the MOOD technique, unphysical oscillations of nonsmooth solutions are avoided. In numerical tests, the applicability to real networks is shown.