Hello,
1) Using the default car-following model, vehicles tend to drive as fast as
possible and then brake as hard as possible (using 'decel'). This means
they will brake with 'decel' at the latest possible moment when approaching
the jam. Thus 'decel' functions more like a desired deceleration.
Unfortunately, there is yet not concept for discriminating between desired
and maximum deceleration.

2) Tau is the desired time gap to the follower which may be interpreted as
a consequence of a drivers reaction time. However, reaction time is
fundamentally limited by simulation step size. This why you will get a
warning when using tau < step-size (it may lead to collisions). Also, when
setting tau > step-size, drivers will still adapt their behavior during
every simulation step. There are plans for adding a new car following model
which allows reaction times above the simulation step size to be modeled (
http://sumo-sim.org/trac.wsgi/ticket/1151)

3) A normal distribution with expectation X may return any real value.
However, we wish to avoid very low speedFactors so we always return values
of at least 0.2. (The value in the wiki documentation was wrong and is now
fixed).

regards,
Jakob


2014-04-22 12:03 GMT+02:00 Pieter Loof <[email protected]>:

> Hi all,
>
> Just a few short questions to make sure that I interpret the vehicle
> parameters correctly:
>
> 1. 'decel' is the maximum deceleration of vehicles, so the average value
> will be lower. Suppose a vehicle drives towards the end of a traffic jam,
> how large is the deceleration it will apply compared to this maximum value?
> 2. 'tau' is the reaction time. Suppose we have simulation steps of 1 second
> and a tau of 0.8, are vehicles then able to start reacting on a fraction in
> between two simulation steps?
> 3. 'speedDev' is the deviation for drawing a desired speed factor from a
> normal distribution. The documentation says "The resulting values are
> capped at 0.1 to prevent extreme dawdling." I don't understand this
> sentence, can someone explain this?
>
> Best regards,
> Pieter
>
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