News

Research shows that the ability to anticipate safety-critical situations is predictive of safe performance in traffic. Thus far, hazard anticipation training has been developed mainly for car drivers. These training programs may not be appropriate for cyclists who are exposed to different types of hazards.

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FERSI published a technical paper that sets out a scientifically valid method for assessing the prevalence of mobile phone use of car drivers, cyclists and pedestrians through on-road observations and self-reports.

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The MeBeSafe project (Measures for Behaving Safely in Traffic), started on 1 May 2017, runs for 3.5 years and is funded by the European Commission (Horizon 2020). SWOV is one of the 15 partners in this study. The aim is to use sensor-based feedback such as 'nudging' and 'coaching' to develop new measures to steer drivers and cyclists towards safer behavior.

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December 10th 2019 both EU-projects SafetyCube and SaferAfrica have been awarded with the Prince Michael International Road Safety Award:

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SWOV researcher Bos and Davidse coauthored the article 'Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions' in the magazine Traffic Injury Prevention.

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The predicted impacts of several ADAS are compared with the actual observed impacts, giving insight in prediction errors.

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Fred Engineering, in association with SWOV, has been awarded a Worldbank contract for the project ‘Motorcycle Safety in Africa’.

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SWOV researcher van Nes coauthored the article 'Analysing noisy driver physiology real-time using off-the-shelf sensors: Heart rate analysis software from the Taking the Fast Lane Project' in the Journal of Open Research Software.

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Watch the animation explaining what the MEDIATOR project is about. 

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SWOV researcher Van Nes coauthored the article 'HeartPy: A novel heart rate algorithm for the analysis of noisy signals' in the magazine 'Transportation Research'.

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