activity
20182021
collaborators

6 papers

math.DS2021

Macroscopic and multi-scale models for multi-class vehicular dynamics with uneven space occupancy: a case study

Maya Briani, Emiliano Cristiani, Paolo Ranut

In this paper we propose two models describing the dynamics of heavy and light vehicles on a road network, taking into account the interactions between the two classes. The models…

math.NA2021

Angle dependence in coupling conditions for shallow water equations at canal junctions

Maya Briani, Gabriella Puppo, Magali Ribot

In this paper we propose a numerical Riemann problem solver at the junction of one dimensional shallow-water canal networks. The junction conditions take into account the angles wi…

math.NA2019

Evaluation of emissions and ozone production due to vehicular traffic via second-order models

Caterina Balzotti, Maya Briani, Barbara De Filippo +1

The societal impact of traffic is a long-standing and complex problem. We focus on the estimation of ozone production due to vehicular traffic. For this, we couple a system of cons…

math.NA2019

Understanding Mass Transfer Directions via Data-Driven Models with Application to Mobile Phone Data

Alessandro Alla, Caterina Balzotti, Maya Briani +1

The aim of this paper is to solve an inverse problem which regards a mass moving in a bounded domain. We assume that the mass moves following an unknown velocity field and that the…

math.PR2018

Convergence rate of Markov chains and hybrid numerical schemes to jump-diffusions with application to the Bates model

Maya Briani, Lucia Caramellino, Giulia Terenzi

We study the rate of weak convergence of Markov chains to diffusion processes under suitable but quite general assumptions. We give an example in the financial framework, applying…

physics.soc-ph2018

Understanding Human Mobility Flows from Aggregated Mobile Phone Data

Caterina Balzotti, Andrea Bragagnini, Maya Briani +1

In this paper we deal with the study of travel flows and patterns of people in large populated areas. Information about the movements of people is extracted from coarse-grained agg…