MICA - Modelling Interaction between Cyclists and Automobiles : public report

The MICA project modelled driver behaviour, focusing on the approaching phase of an overtaking manoeuvre, when a driver moved toward a cyclist while facing oncoming traffic (Euro NCAP test protocols inspired this scenario.). The model predicts the probability for drivers to brake or steer as they approach the cyclists to perform an accelerative (overtake after the oncoming traffic has passed) or flying (overtake before the oncoming traffic has passed) manoeuvre, respectively. This model has been integrated into a smart collision-avoidance system, that provides early (and yet acceptable) warnings and interventions. A virtual assessment estimated the safety benefits of the smart collision-avoidance system using UDRIVE naturalistic data. The main deliverables of the project were: 1) a unique dataset collected on the airfield in Vårgårda where participants interacted with two robots, 2) a new modelling framework that helps to identify interaction on a scenario basis, 3) a novel driver model, which can predict overtaking strategy in real-time, 4) a smart collision-avoidance system which uses the driver model to generate warnings and automated interventions, and 5) a safety benefit analysis, proving the potential for the new collision-avoidance systems to save lives and reduce injuries from naturalistic European data.

Language

  • English

Media Info

  • Pagination: 22p

Subject/Index Terms

Filing Info

  • Accession Number: 01781127
  • Record Type: Publication
  • Source Agency: Swedish National Road and Transport Research Institute (VTI)
  • Files: ITRD, VTI
  • Created Date: Sep 1 2021 2:26PM