Hello,
the question is well phrased, yet hard to answer.
The default car following model 'Krauss' was written with the intention of
creating a simple model that recreates macroscopic traffic properties
(fundamental diagram). As far as I know distinctions between
human/autonomous drivers were out of the scope at that time.
Other models such as the Wiedemann model were intended to capture
perception effects of human drivers.
Generally, I would say the models were not built with the distinction
human/autonomous in mind. Instead they were intended to capture qualitative
effects of traffic (why do cars change their lane?, what is a safe
following distance) and to allow for flexible calibration.
There are some developments in Sumo such as the driver-state device which
are intended to make the driving behavior more human. However, this part of
the development is still ongoing (https://sumo.dlr.de/wiki/Driver_State).
Most of the models allow a wide range of different behaviors which can be
used to model various assumptions on how humans and autonomous vehicles
might differ (preferred headway, reaction time, rule compliance,
imperfection).
The takeover-of-control device (https://sumo.dlr.de/wiki/ToC_Device) can be
used to model certain effects at levels 3 and 4.

regards,
Jakob


Am Sa., 27. Apr. 2019 um 22:13 Uhr schrieb Jonathon Beauregard II <
[email protected]>:

> Hello, this is my first time attempting something like this, so please
> feel free to let me know if I violate some etiquette I am unaware of.
> I am a part time master's student, and I am early into my thesis. Still
> going through the literature, writing my proposal.
>
> I am looking at the vehicle models, car following and lane changing. And I
> have a few questions still burning that I could use some guidance on.
>
> Are any of these models 'human'? Or are these models more autonomous?
>
> Are there different models that represent different levels of autonomy? I
> am referring to the NHTSA levels. Would various parameter changes within a
> specific model, change it's classification?
>
> Thank you for taking the time to read this, many thanks!
>
> --
> Jonathon Beauregard II
> 1-318-497-1798
>
> linkedin.com/in/jbeauregard2
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