Research Topics



Safe Highways of the Future

descriptif

Drivers learn to anticipate difficulties in a natural way. This behaviour may provide insights into how all drivers should behave, and it may not be always consistent with information as simple as mandatory speed. In the French ANR DIVAS project, the speeds adopted by experienced drivers were used to obtain a nominal speed profile. A composite risk function was then used to compute a customised adaptive speed profile, which takes into account the current state of the road. Compared to purely computational approaches, this hybrid empirical and computational approach may be used to update speed limits and improve their credibility.

Publications
  1. Gallen, R., Hautière, N. and Glaser, S. Advisory Speed for Intelligent Speed Adaptation in Adverse Conditions. In IEEE Intelligent Vehicles Symposium (IV'10), San Diego, California, USA, pages 107-114, 2010.    
  2. Hautière, N. and Lepert, P. DIVAS : comment adapter dynamiquement la demande à l’offre de sécurité routière. In Prévention des Risques et Aides à la Conduite, Paris, France, 2010.  
  3. Lepert, P. and Hautière, N., ed. Projet DIVAS: Dialogue Infrastructure Véhicules pour Améliorer la Sécurité routière. Hermès Science, 2010.  
  4. Hautière, N. and Lepert, P. Dialogue between Infrastructure and Vehicles to Improve Road Safety: The DIVAS Approach. In Transport Research Arena (TRA'08), Ljubljana, Slovenia, 2008.  

Related topics

Highways of the future
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