Traffic simulation:Developing, analyzing, and visualizing PTV VISSIM models to forecast traffic-related KPIs for existing infrastructure as well as for planned/newly designed infrastructure.Public Affairs:Utilizing my German background to facilitate communications between the German state and federal states and the Port of Rotterdam to ensure seamless transportation of all kinds of goods via freight trains, pipelines, inland waterways and road.Traffic Management:Organizing and managing infrastructure construction, maintenance, and closures at a regional level in the North Holland region.Developing a policy for local congestion-safety systems to be implemented and issued by Rijkswaterstaat.

Responsible for the design of a model for a demand-responsive ride-hailing-system (DRT) that estimates the required system fleet size. Analyzed and visualized various mobility data. This was to support management decisions for the improvement of public transport in Berlin. Traveler behavior was examined by monitoring customer requests during events or other periods with special traffic conditions. Also developed analysis tools in R and Python for downloading route data from a SQL database and other applications.

- multinomial logistic regressions- descriptive statistics- data preparation and processing

Creation of a weather-sensitive multinomial logit model to predict the choice of traffic mode in urban areas in Germany