We propose to use adaptive learning algorithms in order to (i) estimate the travel demand, (ii) define and estimate the risks of crashes/conflicts and (iii) minimize transit delays (primary and secondary). The project will initially focus on designing intelligent algorithms for the public transport in Gothenburg, for which large amount of data on city bus driving has already been recorded.
One of the tasks is to investigate and propose an appropriate level of model abstractions and control decomposition into multiple layers that allow a real-time implementable solution.
Biträdande professor vid Chalmers, Architecture and Civil Engineering, GeoEngineering
Docent vid Chalmers, Electrical Engineering, Systems and control, Automatic Control
Forskare vid Chalmers, Mechanics and Maritime Sciences, Vehicle Safety
Funding Chalmers participation during 2020–2021
Funding Chalmers participation during 2019–2020
Areas of Advance