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## WHAT IS IT?

The model’s purpose is twofold. Firstly it aims at accurately modeling traffic conditions in a simplified representation of a real road network. Secondly, it aims at modeling the effect of communication, potentially false, and countermeasures to false communication within this network.

## HOW IT WORKS

The agents in this model represent cars that can decide for themselves which of the two edges to pick to go from G to U. Each agent belongs to one of three different groups:
private drivers, professional drivers or authority drivers. These different groups are used to initialize the simulation with heterogeneous behaviors, but other than that, all agents function in the same manner.

In each iteration, an agent decides, based on its beliefs about the roads, to drive along either GSU or GPU. There are three beliefs which influence its behavior: gsu_congested, gpu_congested and gpu_dangerous. Each agent then decides what road to take according to

## HOW TO USE IT

## THINGS TO NOTICE

(suggested things for the user to notice while running the model)

## THINGS TO TRY

(suggested things for the user to try to do (move sliders, switches, etc.) with the model)

## EXTENDING THE MODEL

(suggested things to add or change in the Code tab to make the model more complicated, detailed, accurate, etc.)

## CREDITS AND REFERENCES

This model is used in submission number #304 at AAAI 2015. References will be added after the blind review phase is over.

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