Perform statistical analysis

Implement an automated (?) statistical analysis. For the analysis, we should look at the following scenarios:

1. Centralized
2. Peer-to-peer

For 1., we need to set the range of the vehicles to inf and we need to deactivate message propagation in the network.

We should take a look at the following values in the simulation:

1. Travel time in both simulations
2. Maximum wait time in both simulations
3. Deviation from maximum possible travel speed
4. Message traffic (using MessageBroker to count the messages that are currently in the air). This should be plotted against time to take a look at the evolution of message traffic.
5. Number of reroutes in both scenarios

We should add a parameter -e to main, which writes our required statisical data gathered during simulation to a folder out or the like. The idea is to then read the data from a different module to draw the graphics, etc. This could be done from a Python Notebook.

Further points that come to this issue (Boyan)

1. Add traffic in the other directions in the simulation to better show how the idea of message propagation works
   • though not too, otherwise we get an artificial world and basically centralized information system
2. As we are at it, add another scenario with 2 problems (1 accident, 1 granny driver)

Implementation details for documentation purposes

All output data would be saved as .csv, so we can analyze the results easily in a jupyter notebook with pandas

1. Data for cars saved in ./out/cars.csv
2. Data for messages saved in ./out/messages.csv