Safety aware vehicular routing using on-car sensors

The main goal of the project is to develop real-time vehicle routing strategies for a mixed human- and self-driven vehicular network, with emphasis on post-accident scenarios in large-scale road networks. The project relies on an inter-disciplinary approach between traffic theory (e.g., using the network fundamental diagram to model the road), communication technologies (e.g., applying large-scale routing methods) and accident risk management (e.g. risk assessment to predict accidents and their impact). It is proposed to use adaptive routing algorithms in order to (i) accommodate accident-corrupted traffic conditions, and (ii) prevent/minimize the risk of further accidents.