Hello,
you have several options:
1) generate individual attributes accel, decel, speedFactor for each vehicle
2) generate a parameter distribution fora accel, decel and speedFactor from
the data (http://sumo.dlr.de/wiki/Tools/Misc#createVehTypeDistributions.py)

3) pick one representative value for accel and decel and (mean) speedFactor
and only use speedDev to model the speedFactor distribution. For this case
I would recommend (note, that speedFactor is defined with reference to the
speed limit):

accel = max acceleration  (use the 90th percentile to make this robust)
decel = max deceleration (use the 90th percentile to make this robust)
speedFactor = mean of (maximumSpeed/speedLimit for each vehicle)
speedDev = deviation of (maximumSpeed/speedLimit - speedFactor)

regards,
Jakob





2017-08-31 10:33 GMT+02:00 Alessandro Virgilio via sumo-user <
[email protected]>:

> Hi all, I have a problem about defining vehicles in my simulation.
> I have data about real vehicles such as instant speed and acceleration.
> Then I calculated mean, deviation, maximum and minimum (for the speed) and
> max and minimum acceleration for each vehicle.
> Is there any way to simulate a vehicle having the same characteristics?
>
> My only idea is to define a vehicle type with these atttributes:
> accel = max acceleration
> decel = min deceleration
> speed factor = speed mean
> speed dev = speed deviation
>
> I know that the actual beaviour of a vehicle depends on other factors, such
> as lane speed limit, traffic etc. But I would simulate into an ideal case
> in which the data obtained with the simulation is similar to the real one
> (in the same conditions).
>
> Thank you all.
>
> Regards,
> Alessandro Virgilio
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