This course aims at introducing the METROPOLIS2 simulator. The participants will get a general understanding of what METROPOLIS2 is able to do and how it is doing it. They will learn about the input and output data of METROPOLIS2. At the end of the course, the participants will be able to run a simulation from scratch and to analyze its output.
The participants should be comfortable working with computers as they will need to manipulate JSON, CSV and Parquet files (these formats will be introduced during Session 1). To manipulate data for large-scale simulations, knowledge of a scripting language (such as Python, R, or Julia) is strongly recommended.
The participants should also be familiar with usual concepts of transportation economics (e.g., the bottleneck model with alpha-beta-gamma preferences, discrete-choice models).