SAFER ONLINE SEMINAR: New SAFER partners
In March SAFER welcomed four new partners to our research community. In this special, and prolonged (11.30 – 12.50), edition of the Thursday seminar series, representatives of each company will give us an introduction to their area of expertise, how they aim to contribute to our joint research activities and towards SAFER’s vision, that all road users should travel safely in the transport system!
_____________________________________________________________________________
Viscando
Speaker: Yury Tarakanov, Business developer, Viscando
Viscando is supporting cities, municipalities and road authorities with diagnostics of traffic safety and efficiency. We are providing quantitative measures of safety and flow, and in-depth insights into disturbances and accident risks. Safety and convenience for vulnerable road users in complex urban traffic is of special importance for us.
Our traffic safety diagnostics is enabled by an in-house developed, 3D and AI based infrastructure sensor and advanced data analysis tools. With help of these, we are collecting and analyzing naturalistic data on movements, interactions and conflicts between multimodal road users. Our rich naturalistic data finds use in traffic safety research and as a source of scenarios and behaviour models for development and verification of autonomous vehicles. Moreover, we are involved in pilots where our traffic sensor is employed as part of connected road infrastructure. The applications include real-time traffic control in smart cities and collective V2X-based perception for connected autonomous vehicles.
Hövding
Heino Wendelrup, CTO & Fredrik Carling CEO, Hövding
Hövding has about 40 employees and develops protection for urban cyclists. Their key product is an airbag head protection product called Hövding. Today, Hövding is rated the world’s safest means of head protection for cyclists, and now it’s connected as well. This enables it to automatically alert in the event of an accident.
Hövding’s product uses AI that is trained by machine-learning based on more than 5000 staged bike accidents with stunt persons. This information gives a unique knowledge of bike accidents and its dynamics. The latest product is a connected to a phone application and during the last year information about almost 1.000.000 bike trips corresponding to 90 laps around the world in distance have been collected. This dataset provides deep insights in daily bike commuters.
DuWill AB
Speaker: Tania Dukic Willstrand, CEO, DuWill AB
DuWill’s core business is to increase both traffic safety and the share of sustainable and safe transport. Traffic safety and sustainability need to run in parallel to reach the desired progress on time for 2030. Tania Dukic Willstrand, DuWill’s CEO, has a PhD in Human Factors Engineering and 20 years of experience within R&D. Tania is a former research leader at VTI and former director for Road User Behaviour at SAFER. She is also a board member of the Swedish Traffic Medicine Association and for the National Society for Road Safety (NTF Väst).
DuWill is working with systematic analysis of road safety, i.e. from goals to actions and evaluations and supports organisations to implement the recommendations included in the Stockholm declaration to reach the road safety goals by 2030. Operations are mainly research projects, consulting activities and education.
ASTUS
Speaker: Rolf Johansson, CEO, ASTUS
ASTUS AB is an expert service provider with focus on safety argumentation for road vehicles. Besides providing consultant services in the area, the company also significantly invests in international standard work, and in writing scientific papers. ASTUS AB is a member of SIS, and Rolf Johansson, the CEO of the company, is an appointed international expert for the creation of the standards ISO 5083, ISO 26262, ISO 21448, and UL4600.
The current research focus is how to reach a complete and predictive safety argumentation for self-driving vehicles. When removing the manual driver from some road vehicles, the impact on traffic safety might be very high (potentially both positively and negatively). Some examples of research questions that ASTUS are working with:
• How can we come up with predictive safety claims about the traffic safety consequence of each specific version and variant of a self-driving vehicle?
• How can we generate new safety argumentation at high pace, when vehicles already being on the roads, are getting significant updates every few weeks?
Welcome!
_____________________________________________________________________________________
This seminar is only open for SAFER partners. Missing your invitation? Please contact Mikael von Redlich.
