Előadás címe: Traffic modelling and simulation by sparse data recovery and refinement
Időpont: 2020.06.30., 13:25 – 13:45
Kivonat: We present a novel mini-project outlining its aims and concepts. One of the goals of the mini-project is to build a traffic simulation tool for microscopic modelling of urban mobility, that is, treating each vehicle on its own, reusing existing technologies when appropriate for the case. The other theoretical and computational challenge is to fit the model via its simulations to the real world measurement data available. The data source provided by the cooperation through the city administration has significantly lower dimension than the parameter space of the model we build, so various dimension reduction, regularization measures have to be taken to get a realistic outcome after performing the machine learning optimization.
The mini-project has to be put in the broader perspective of research, where the vision is to get a high resolution estimate of traffic related emission, for which an intermediate milestone is getting insight on the vehicles actually causing the emission.