News

On February 4, SWOV-researcher Diane Cleij successfully defended her dissertation, titled 'Measuring, Modelling and Minimizing Perceived Motion Incongruence for Vehicle Motion Simulation'.

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FERSI published its new position paper. The paper intends to offer guidance to Member States on developing a national road safety programme.

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Drivers are legally prohibited from using a handheld phone while driving. Telephone use is permitted, however, when the phone is mounted in a phone holder (mounted phone).

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A consortium consisting of Vias institute (Belgium) and SWOV (The Netherlands) will update the European Road Safety Observatory ERSO per 1 February. Vias is the lead institution, but the work will be shared fairly evenly across the two partners.

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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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