The process described in Eq.6 follows a reinforcement learning logic, according to which a player (user) increases the frequency of an action (travel choice) when this action has given a relatively larger payoff than the other actions. Namely, the users learn, over time, to make better decisions (leading to lower realized travel costs) more often andworse decisions less often.