Vehicle-pedestrian interactions in autonomous vehicles (AVs) present complex challenges that require advanced decision-making algorithms. Understanding the factors influencing ethical decision-making (EDM) in critical situations is essential as AVs become more prevalent. This study addresses a...

As participatory urban planning has gained traction recently, the consensus-building process among citizens has become crucial to its success. In particular, the level of understanding among citizens regarding new technologies or systems in the city, referred to as civic literacy in this study,...

Background: Rapid urbanization has intensified the challenges of freight transport, particularly in last-mile (LM) delivery, leading to rising costs and environmental externalities. Autonomous vehicles (AVs) have emerged as a promising innovation to address these issues. While much of the...

The automotive industry faces a transformative time with the advent of advanced vehicle technologies and evolving consumer preferences. This research employs predictive modeling to forecast the adoption of Euro 6d and Euro 7 compliant vehicles, Battery Electric Vehicles (BEVs), and Autonomous...

This paper explores how the interaction between human-driven vehicles (HVs) cruising for parking and autonomous vehicles (AVs) traveling back and forth affects travel behavior and congestion. To capture the spatial distribution of parking, we develop a continuous spatial optimization model, with...

In March 2022 the JRC (Units B.6, C.4, E.3) organized an Exploratory Workshop entitled "Toward explainable, robust, and fair AI in automated and autonomous vehicles", bringing together experts in fields such as Trustworthy AI, autonomous driving, and vehicle testing. This report summarizes the...

We consider the optimal liability rule in the case of accidents by fully autonomous vehicles. We show that when due activity is not enforceable, it is socially optimal to apply the strict liability rule to the human operator who determines the activity level and to apply the negligence rule to...

The safety concerns for autonomous vehicles (AV) is shown a to be roadblock to their adoption. This paper addresses these concerns by studying a unified, game-theoretic framework (leader-follower game) of mixed traffic in which AVs and human-driven vehicles (HV) coexist, with endogenous vehicle...

The rise of autonomous driving may sharply reshape ride-sourcing markets by influencing drivers’ income and participation, customers’ choices, ride-sourcing platforms’ operations, and governments’ regulations. We introduce a model which characterizes a ride-sourcing market with a mixed...

This paper studies how the potential introduction of autonomous vehicles (AVs) in a fleet of human drivers (HVs) may impact the quality of service and the equality of access to transportation on ride-hailing platforms. We formulate a game-theoretical queueing model in which a platform aims to...

Major trends in the automotive industry are reconfiguring digital mobility business models. From a comprehensive, combined Dynamic Capabilities and Ecosystems approach, this study characterizes the digital mobility business models linked to sustainability, connectivity, and Autonomous Vehicles...

This paper provides a conceptual look at various personas that could be used for autonomous vehicle deployments globally. It uses ideas developed as a part of a “ideathon” workshop in 2023 related to the EU-funded SHOW project. The idea was to develop concepts for how stakeholders could be...

For autonomous vehicles (AVs) to be widely commercialized, they must operate safely. Testing AVs on public roads helps improve their future safety, as it enables AV firms to discover rare and unknown driving scenarios (known as "edge cases"). However, edge cases can trigger AV failures (called...

Connected Autonomous Vehicles (CAVs) are becoming data centers on wheels, amassing petabytes of data. They require a combination of software and hardware systems to operate reliably and simply in real-time. However, due to the transient nature of Vehicle to Vehicle (V2V) and Vehicle to...

We discuss future challenges to road transport infrastructure. These are related to maintenance, autonomous transport and the fi-nancing of infrastructure. We state that maintenance investments are mainly relevant and necessary to avoid a strong reduction in accessibility;autonomous driving will...