Quantifying the Impact of Automated Vehicles on Traffic

One of the major challenges in the development of Automated Driving is its assessment. It is expected that Automated Vehicles behave differently than human drivers. Therefore, mixed human-robot traffic will yield different and new driving situations as human-only traffic. It is important to know how this mixed traffic will change the...

Steering Stories: Confronting Narratives of Driving Automation through Contestational Artifacts

In this paper, we problematize popular narratives of driving automation. Whether positive or negative, these propagate simplistic assumptions about human abilities and reinforce technocratic approaches to mobility innovation. We build on narrative approaches to participatory research and adversarial design, to explore how design-led...

Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently...

Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems

There is a pressing need for road authorities to take a proactive role in the deployment of automated vehicles on the existing road network. This requires a comprehensive understanding of the road infrastructure requirements that would lead to safe operation of automated vehicles. In this context, a field test with Lane Departure Warning and...

Comparative assessment of safety indicators for vehicle trajectories on the highway

Safety measurement and analysis have been a challenging and well-researched topic in transportation. Conventionally, surrogate safety measures have been used as safety indicators in simulation models for safety assessment, in control formulations for driver assistance systems, and in data analysis of naturalistic driving studies. However,...

Casestudy Appelscha: Een onderzoek naar de implementatie van automatisch vervoer in het buitengebied

Dit rapport is een uitwerking van de casestudy Appelscha welke is uitgevoerd in het kader van werkpakket 7 van het STAD project. Het STAD project bestudeert het effect van zelfrijdende voertuigen op vervoers- en locatiekeuzes van personen en bedrijven en op het ruimtelijk ontwerp van steden en wegen. Werkpakket 7 focust binnen het project op de...

Driver behavior and workload in an on-road automated vehicle

Driver mental underload is an important concern in the operational safety of automated driving. In this study, workload was evaluated subjectively (NASA RTLX) and objectively (auditory detection-response task) on Dutch public highways (~150km) in a Tesla Model S comparing manual and supervised automated driving with moderators automation...