How does the naturalistic driving methodology compare to driving simulator studies? What naturalistic driving data is already out there and is there a way to access it? What should I know before setting up my own naturalistic driving study?
These questions and more will be addressed in this RSS17 workshop on Naturalistic Driving.
We will start with an introduction to the Naturalistic Driving methodology as a unique approach to collecting data in general, followed by an overview of previous and ongoing Naturalistic Driving studies around the globe (which data is collected where and is it accessible?).
Next, we discuss the value of Naturalistic Driving observation compared to other methods, such as driving simulator research.
After this general and global introduction to Naturalistic Driving, we will introduce you to the UDRIVE project in particular. Within the UDRIVE project, data is collected for three vehicle types, trucks, cars and scooters, in six European countries: France, Germany, the Netherlands, Poland, Spain and United Kingdom. The very rich continuous data collected is includes GPS, speed data, CAN data, smart camera data, and multiple video views (5 for PTWs, 7 for cars and 8 for trucks). This allows us to observe all kinds of driver behaviours under natural conditions.
In an interactive session you will learn about the possibilities of the UDRIVE data. We will present you the details about the study design, the sample, and the data collected. We will present the data, the tools to access the data and explain how you could access it yourself. We will illustrate the research possibilities based on the analyses performed on the UDRIVE data in the areas of: driver distraction, interactions with vulnerable road users, everyday driving behaviour, risky driving, and eco-driving.
Last but not least, we will share our lessons learned in setting up and running a Naturalistic Driving study. If you are interested in setting up a naturalistic driving study in the future, you could take advantage of our experience.
Altogether this workshop is an opportunity to gain understanding of Naturalistic Driving in general, the UDRIVE project in particular, and most important: the value of this method and the data available for your own research!
|Dr.ir. Nicole van Nes is Senior Project Manager at the SWOV Institute for Road Safety Research. Nicole is responsible for the research on safety in the transition to higher levels of automation of the traffic system. Nicole initiated and developed long term research vision for safety opportunities and challenges in the transition towards higher levels of traffic automation. Nicole collaborates with national and international leading institutes in research and industry. Nicole is project coordinator of the large scale European Naturalistic Driving project UDRIVE (10M€, 19 partners). This project collects unique data to observe driver behavior unobtrusively in a natural conditions in real traffic. Nicole has also been involved in the European Naturalistic Driving projects Prologue and Interaction. In 2016 Nicole was seconded to ARRB in Sydney for 3 months to contributed to the Australian Driverless Vehicle Initiative (ADVI). In 2008 and 2009, Nicole was guest researcher for a year at Monash University Accident Research Centre (MUARC) in Melbourne, Australia. Nicole is Member of the Board of HUMANIST Network of excellence, a network of over 20 partners from research and industry across Europe on Human Centred Design for Information Society Technology.|
|Michiel Christoph is an experienced researcher at SWOV. Michiel holds a master’s degree in Psychology and also gained relevant technological skills in the project work. Michiel has participated in several European projects on Naturalistic Driving. In the European project INTERACTION he coordinated the field trial in 7 countries throughout Europe. In Prologue he was responsible for technical coordination of the Dutch Field trial, including the instrumentation of the vehicle, legal and ethical issues and data management. In UDRIVE he coordinated the sub-project ‘data management’ involving the development of data loggers, infrastructure for data management and development of analysis software. In addition he coordinates projects in the area of distracted driving.|
|Veerle Heijne is a scientist at the Netherlands Organisation for applied scientific research (TNO) in The Hague. She currently works in the Sustainable Transport and Logistics group on (big) data analysis, model development, and processing of vehicle emission measurements. Dr. Heijne is involved in a variety of projects, such as a the optimisation of fuel reducing measures in the logistics sector, the calculation of vehicle emission factors using on-road measurements, and trend analysis of the vehicle fleet in The Netherlands. She earned her MSc degree in particle- and astroparticle physics at the University of Amsterdam in 2010. She worked on detector hardware development and statistical data analysis at the CERN institute for high-energy physics in Geneva, and obtained a PhD on the search for new elementary particles at the Large Hadron Collider. She has been involved in the UDRIVE project the past two years, coordinating the research on eco-driving which links fuel consumption to driving behaviour.|
|Dr.ir. Reinier Jansen is an industrial design engineer with a special interest in cognitive psychology and human-product interaction. In his PhD research (2012-2017), Reinier performed several observation studies in police cars and in satellite control rooms, to examine how police officers and space controllers process incoming information. In subsequent experimental studies, he focused on preferences with regard to how people prioritize between driving and non-driving tasks. Furthermore, Reinier holds a special interest in sound perception and design. He developed a product sound sketching tool during his MSc on Design for Interaction (2008-2010), where he used his skills in organizing focus groups, interactive prototyping, and performing user tests. In 2016 Reinier joined SWOV as researcher for the EU naturalistic driving project UDRIVE, where he led Work Package WP4.4 on interactions with vulnerable road users (pedestrians, cyclists, powered two-wheelers). He was involved with programming and analysis in studies on everyday riding by powered two-wheelers, on cyclist overtaking manoeuvres, and on blind spot checks by car drivers and truck drivers. Reinier is currently preparing future analyses using naturalistic driving and cycling data.|