Thank you Jakob, I think I will try with the 3rd option. It's the easiest
way to use my data.

Regards,
Alessandro

2017-08-31 12:31 GMT+02:00 Jakob Erdmann <[email protected]>:

> 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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