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...

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...

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...

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...

Whilst self-driving cars are not vehicles of the future, but technology that is already available, their acceptance and implementation is heavily limited. People consider them as technology that has a lot of risk-be it technological, IT related, or even ethical. The aim of the present paper is...

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...

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...

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...

Vehicle automation has been in the works for a long time now. Automatic brakes, cruise control, GPS satellite navigation, etc. are all common features seen in today's automobiles. Automation and artificial intelligence breakthroughs are likely to lead to an increase in the usage of automation...

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...

This study envisions a future of operating shared autonomous vehicles (SAVs) to provide mobility services in 374 small and medium-sized urban areas (population 375,000) in the United States. Specifically, this study 1) generates large-scale synthetic commuting trip data for 374 urban areas, 2)...

Human drivers routinely make implicit tradeoffs between their selfish interests and the safety of passengers, as when they perform a rolling stop in order to reach their destination faster. Here I explore whether they are comfortable with autonomous vehicles (AVs) that encode similar selfish...

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...

Autonomous driving (AV) technology has elicited discussion on social dilemmas where trade-offs between individual preferences, social norms, and collective interests may impact road safety and efficiency. In this study, we aim to identify whether social dilemmas exist in AVs' sequential decision...

Cities have started to restructure themselves into 'smart cities' to address the challenges of the 21st Century-such as climate change, sustainable development, and digital disruption. One of the major obstacles to success for a smart city is to tackle the mobility and accessibility issues via...

Road accidents involving autonomous vehicles (AVs) will not only introduce legal challenges over liability distribution but also generally diminish the public trust that may make itself manifested in slowing the initial adoption of the technology and call into question the continued adoption of...

Connected and autonomous vehicles (CAVs) are an emerging technology that has great potential for increasing road capacity and reducing traffic incidents, congestion, fuel/energy consumption as well as emissions, all of which may support safer and more reliable and efficient (and potentially...