Nowadays traffic models have become an indispensable tool for the management of vehicular traffic, especially in order to avoid hard congestions, which may have dramatic implications in modern society. In this project, we will focus on a typical feature of congested traffic,
the Stop and Go waves, which represent a real danger for drivers. They are detected when vehicles
stop and restart without any apparent reason, generating a wave that travels backward with respect to the cars’ trajectories. So they lead not only to a safety hazard, but also have a negative impact on fuel consumption and pollution. Therefore, we will investigate the impact of Stop and Go waves on traffic flow, especially in terms of travel time and fuel consumption.
Moreover, we will focus on some techniques aimed at reducing them, for example introducing autonomous vehicles. Numerical simulations will be performed in order to validate the proposed modelling approach.
Instructor: Elisa Iacomini (RTWH Aachen, DE)
- Nataliia Kruchinina, University of Koblenz-Landau
- Balázs Grünfelder, University of Szeged
- Andrea Meda, University of Verona
- Valerio Flora, University di Verona
- Angela Agošton, University of Novi Sad
Room SMT09, Veronetta – Santa Marta, Via Cantarane 24, 37129 Verona