Paweł Gora: Applications of machine learning in traffic optimization
I will be talking about possible applications of machine learning in traffic optimization (and in optimizing some other complex processes). I will describe the process of building traffic metamodels by approximating outcomes of traffic simulations using machine learning algorithms (e.g., deep neural networks) and explain how it may be used in real-time traffic signal control and transport planning (e.g., to find optimal locations and capacities of parkings and charging stations for electric vehicles). I will also tell about possible applications of machine learning in the area of connected and autonomous vehicles, which are expected to revolutionize transportation in the near future.
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