activity
20242026
collaborators

5 papers

eess.SY2026

Emission reduction potential of freeway stop-and-go wave smoothing

Junyi Ji, Derek Gloudemans, Gergely Zachár +4

Real-world potential of stop-and-go wave smoothing at scale remains largely unquantified. Smoothing freeway traffic waves requires creating a gap so the wave can dissipate, but the…

math.NA2026

Supervised and Unsupervised Neural Network Solver for First Order Hyperbolic Nonlinear PDEs

Zakaria Baba, Alexandre M. Bayen, Alexi Canesse +7

We present a neural network-based method for learning scalar hyperbolic conservation laws. Our method replaces the traditional numerical flux in finite volume schemes with a traina…

math.OC2025

Hybrid multi-population traffic flow model: Optimal control for a mean-field limit

Maria Teresa Chiri, Christopher Denaro, Xiaoqian Gong +1

Modeling heterogeneous and multi-lane traffic flow is essential for understanding and controlling complex transportation systems. In this work, we consider three vehicle population…

math.AP2024

Adapting Priority Riemann Solver for GSOM on road networks

Caterina Balzotti, Roberta Bianchini, Maya Briani +1

In this paper, we present an extension of the Generic Second Order Models (GSOM) for traffic flow on road networks. We define a Riemann solver at the junction based on a priority r…

math.AP2024

A multi-scale multi-lane model for traffic regulation via autonomous vehicles

Paola Goatin, Benedetto Piccoli

We propose a new model for multi-lane traffic with moving bottlenecks, e.g., autonomous vehicles (AV). It consists of a system of balance laws for traffic in each lane, coupled in…