How to model the travel speed of an operator randomly. For example, normally distributed with a mean of 45 and a standard deviation of 1.6 meters x minute.
The answer is, you can‘t do this, because maximum speed is a static parameter to set a limit not the current speed. You can set and change the maximum speed on discrete events, but you don’t know if the operator reaches top speed, how long this last, how often he has to wait or is blocked behind another taskexecuter.
Theoretical you can build a model wherein a taskexecuter is alone and he travels only on a straight line to its destination. You can divide the distance in short sections. And you set the end speed for each section randomly in boundaries of acceleration and decelerations to get to maximum end speed on this section. Then you can begin to speak of a randomly statistical distributed speed of the operator, which you can set empirically.
But for a real model I don’t see it as a practical possibility to set a parameter at model run start and get at the end a normal distributed speed.
Maybe you can optimize your model in the experimenter and one aim is the average speed of an operator which is normal distributed for 10.000 runs of the model.
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