While deterministic simulations are mainstream, I trained on the specific probabilistic simulations and multi-agents that are closer to reality; considering the randomness of the real world. Below are two short examples.
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Optimization of stationing time at an airport
Optimization of stationing time at an airport
Airports rent stationing time and services to the airline companies. This model helps them optimize that side of their business.
Traffic Jam Analysis with actual map
Traffic Jam Analysis with actual map
In this project, the aim was to identify the bottlenecks of traffic jams in a city. We the actual map of the city to simulate the commute times.
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