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.
Docent vid Chalmers, Electrical Engineering, Systems and control, Automatic Control
Forskare vid Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
Doktor vid Chalmers, Electrical Engineering, Systems and control, Automatic Control
Biträdande professor vid Chalmers, Electrical Engineering, Kommunikationssystem, informationsteori och antenner, Communication Systems
Funding Chalmers participation during 2017–
Areas of Advance