263 citations · 403 across the 9 of their papers we have counts for
10 papers
Virtual Testing of Automated Driving Systems through Credible Simulations
Riccardo Dona, Espedito Rusciano, Biagio Ciuffo
Simulation is increasingly used to support safety-related decision-making in road transport, particularly for the assessment and approval of automated driving systems (ADS). The co…
Beyond the Proving Ground: Independent Public-Road Testing of Assisted Lane Change Systems using LiDAR
Marcello Cellina, Akos Kriston, Antonio Migneco +7
Testing of commercial Advanced Driver Assistance Systems is essential to ensure safety and compliance during type approval and in service operation. However, proving ground scenari…
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…
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…
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…
Physics-augmented models to simulate commercial adaptive cruise control (ACC) systems
Yinglong He, Marcello Montanino, Konstantinos Mattas +2
This paper investigates the accuracy and robustness of car-following (CF) and adaptive cruise control (ACC) models used to simulate measured driving behaviour of commercial ACCs. T…
Characterizing driver heterogeneity within stochastic traffic simulation
Michail A. Makridis, Aikaterini Anesiadou, Konstantinos Mattas +2
Drivers' heterogeneity and the broad range of vehicle characteristics on public roads are primarily responsible for the stochasticity observed in road traffic dynamics. Understandi…
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…
openACC. An open database of car-following experiments to study the properties of commercial ACC systems
Michail Makridis, Konstantinos Mattas, Aikaterini Anesiadou +1
Commercial Adaptive Cruise Control (ACC) systems are increasingly available as standard options in modern vehicles. At the same time, still little information is openly available o…
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…