A kinetic traffic network model and its macroscopic limit: merging lanes

02/14/2020
by   Raul Borsche, et al.
0

In this paper we propose coupling conditions for a kinetic two velocity model for vehicular traffic on networks. These conditions are based on the consideration of the free space on the respective roads. The macroscopic limit of the kinetic relaxation system is a classical scalar conservation law for traffic flow. Similar to the asymptotic limit of boundary value problems for kinetic models, we consider here the limit of the full network problem including the coupling conditions at the nodes. An asymptotic analysis of the interface layers at the nodes and a matching procedure using half-Riemann problems for the limit conservation law are used to derive coupling conditions for classical macroscopic traffic models on the network from the kinetic ones.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/30/2020

A kinetic traffic network model and its macroscopic limit: diverging lanes

In this paper we propose coupling conditions for a kinetic two velocity ...
research
10/07/2022

Numerical relaxation limit and outgoing edges in a central scheme for networked conservation laws

A recently introduced scheme for networked conservation laws is analyzed...
research
09/12/2022

Central schemes for networked scalar conservation laws

We propose a novel scheme to numerically solve scalar conservation laws ...
research
06/26/2019

Interactive Physics-Inspired Traffic Congestion Management

This paper proposes a new physics-based approach to effectively control ...
research
10/08/2019

A Discrete and Continuum Model of Data Flow

We present a simplified model of data flow on processors in a high perfo...
research
05/03/2021

Network models for nonlocal traffic flow

We present a network formulation for a traffic flow model with nonlocal ...
research
10/08/2019

A mathematical model of asynchronous data flow in parallel computers

We present a simplified model of data flow on processors in a high perfo...

Please sign up or login with your details

Forgot password? Click here to reset