dr. J.L. Veldstra
SUaaVe: SUpporting acceptance of automated Vehicle
As the technology development for automated functions in vehicles progresses and the market introduction of connected automated vehicles (CAVs) approaches, deployment roadmaps start emphasizing societal issues related to CAV technology. Since of the main reason for a contested technology to fail is because societal needs and public acceptance are not taken into account in due time public acceptanceof CAVs is of paramount importance. Additionally, as stated by ERTRAC in the Automated Driving Roadmap, gradual deployment of CAV implies that conventional and automated vehicles will co-exist along with vulnerable road users (VRUs) for some time, making acceptance and harmonisation a prime subject.
Acceptanceis a multi-faceted construct, chiefly related with trust, reliabilityand safety,which covers from psychological factors to the characteristics of decision-making processes. In this project we will test if trustin automated systems can beincreased by making the system more human like,which will result the vehicle to be more predictable and usable for passengers and other road users in its surroundings. In fact, trust in CAV is based on feelings of safety and acceptance, making the emotional processone of the most influential aspects of confidence.
Since the European Group on Ethics in Science and New Technologies recommends that automated technologies should be aligned with fundamental values adhered by EU Treaties ethical considerationslinked to the protection of human life and integrity will also be investigated in this project.
This project is funded by the European Union (H2020 Transport programme in Pillar 3).
The Urban Mobility Observatory,
Cities continue to grow, both in the Netherlands and abroad, which means that the transport system is under increasing pressure. To alleviate that pressure, we first and foremost need insight into what exactly happens in the transport system. With the Urban Mobility Observatory (UMO) we can provide the required data requirements for smart solutions. UMO links its own databases to existing databases. In this way we realize a complete integration of different types of data, such as data on traffic and mobility behaviour and spatial data. The data have different semantic characteristics in terms of spatial scale, time scale and granularity. Combining that data can lead to completely new insights. With UMO we take a leap forward in mobility research by up-scaling obtaining, analysing and combining empirical mobility data. This leap makes pioneering scientific research possible in the area of passenger and goods traffic and transport and creates the acquired insights that can make a substantial contribution to solving societal mobility related problems and accelerating innovations in urban mobility.
Besides RuG the UMO-consortium consists of: TU-Delft (initiatiefnemer); Vrije Universiteit Amsterdam; CIT Amsterdam; TU/Eindhoven; University Twente; Utrecht University en het Amsterdam Institute for Advanced Metropolitan solutions.
This project is funded by the Netherlands Organisation for Scientific Research (NWO). NWO-groot.
Research fitness to drive with long-term use of medication
According to Dutch law people who are long-term users of medication that is classified a danger for traffic safety according to International Council on Alcohol Drugs and Traffic Safety (Icadts, type III) should not drive. These are for example commonly used medicines against insomnia, anxiety or depression. This means that a large proportion of society is actually not allowed to drive. The research on which this classification is based is mostly direct and short-term effects research, while in the in the scientific literature, there are doubts about whether these are actually representative of long-term drug effects. In this study we will investigate whether this doubt is justified. We do this by comparing the driving skills of a group of long term and short terms Icadts type III medication with other road users that do not use these drugs.
DRUID (Driving under the Influence of Drugs Alcohol and Medicine)
In this project we researched the direct effects of MDMA, THC and alcohol driving performance and traffic safety. This research was done in the DRUID consortium in which the infleunce of several types of drugs on driving and traffic safety were tested in order to find out if it was possible to establish treshold values for use of these substances in traffic. See druid-project.eu
|Laatst gewijzigd:||06 februari 2019 10:30|