collaborators

6 papers

math.DS2026

Roadside units placement for total travel time minimization in I2X-enabled road networks based on a dynamic traffic flow model

Emiliano Cristiani, Francesca L. Ignoto, Anna Laura Pala +1

This work addresses the problem of locating Road Side Units (RSUs) in vehicular networks with the aim of improving overall traffic efficiency. We propose a heuristic approach for d…

math.DS2026

The Wolf and the Cello: Modelling and design of multiple resonance suppressors in large string instruments

Simone Cacace, Emiliano Cristiani, Francesca L. Ignoto

The wolf note is an acoustic instability that occurs in large bowed string instruments when a strong body resonance interacts with the vibrating string, producing amplitude modulat…

math.OC2025

A microscopic traffic flow model on network with destination-aware V2V communications and rational decision-making

Emiliano Cristiani, Francesca L. Ignoto

In this paper we carry out a computational study of a novel microscopic follow-the-leader model for traffic flow on road networks. We assume that each driver has its own origin and…

math.AP2025

Numerical computation of generalized Wasserstein distances with applications to traffic model analysis

Maya Briani, Emiliano Cristiani, Giovanni Franzina +1

Generalized Wasserstein distances allow to quantitatively compare two continuous or atomic mass distributions with equal or different total mass. In this paper, we propose four num…

math.DS2025

A general multi-stratum model for a nanofunctionalized releasing capsule: a computational study

Elia Onofri, Emiliano Cristiani, Andrea Martelli +3

Releasing capsules are widely employed in biomedical applications as smart carriers of therapeutic agents, including drugs and bioactive compounds. Such delivery vehicles typically…

cs.LG2025

Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques

Davide Moretti, Elia Onofri, Emiliano Cristiani

The increasing availability of traffic data from sensor networks has created new opportunities for understanding vehicular dynamics and identifying anomalies. In this study, we emp…