EMDAS

12.69
From 2015 to 2017
Autonomous vehicles (AVs) become more and more prevailing in today’s world. There is hence a clear need for researching both functional and operational safety. In this project, we study the latter, implying the full context of a vehicle embedded in a surrounding with other traffic participants, and the related accidents risks. We set up an accident typologies framework, based on available accident analyses (sketches) and literature information, adapted to Belgian accident statistics. This is then validated by means of software simulations, by defining certain scenarios for which we set up various experimental conditions. The results are then interpreted in terms of surrogate safety measures (SSMs) which are then converted into calculated accident and consequently injury risks. This allows to estimate the impact of autonomous vehicles on traffic safety, as well as allowing us to compare them to non-autonomous vehicles (or vehicles with a lower level of autonomy).
 

Period

From 2015 to 2017

Client

IWT

Partner

Flanders’ DRIVE/MAKE, University Ghent, Siemens Industry Software, TomTom Maps, Xenics, VDL Bus & Coach Roeselare
© 2019 Transport & Mobility Leuven | Westsite: Online Oplossingen en Webdesign

TML gebruikt cookies om uw surfervaring op deze website gemakkelijker te maken.

Ok, ik accepteer cookies