collaborators

5 papers

cs.HC2025

Learning to Car-Follow Using an Inertia-Oriented Driving Technique: A Before-and-After Study on a Closed Circuit

Kostantinos Mattas, Antonio Lucas-Alba, Tomer Toledo +3

For decades, car following and traffic flow models have assumed that drivers default driving strategy is to maintain a safe distance. Several previous studies have questioned wheth…

physics.soc-ph2025

Safety Perspective on Assisted Lane Changes: Insights from Open-Road, Live-Traffic Experiments

Konstantinos Mattas, Sandor Vass, Gergely Zachar +8

This study investigates the assisted lane change functionality of five different vehicles equipped with advanced driver assistance systems (ADAS). The goal is to examine novel, und…

econ.GN2025

Scenarios for the Deployment of Automated Vehicles in Europe

Louison Duboz, Ioan Cristinel Raileanu, Jette Krause +3

The deployment of Automated Vehicles (AVs) is expected to address road transport externalities (e.g., safety, traffic, environmental impact, etc.). For this reason, a legal framewo…

econ.GN2021

Mobility and Economic Impact of COVID-19 Restrictions in Italy using Mobile Network Operator Data

Michele Vespe, Umberto Minora, Stefano Maria Iacus +5

This work presents the analysis of the impact of restrictions on mobility in Italy, with a focus on the period from 6 November 2020 to 31 January 2021, when a three-tier system bas…

physics.soc-ph2019

The impact of automation and connectivity on traffic flow and CO2 emissions. A detailed microsimulation study

Michail Makridis, Konstantinos Mattas, Biagio Ciuffo +1

Many of the anticipated advantages of connected and automated vehicles or automated vehicles without connectivity (CAVs and AVs respectively) on congestion and energy consumption a…