Hi,

Thanks Jakob that will work just great!

BR,
Fredrik
________________________________
From: [email protected] <[email protected]> on behalf 
of Jakob Erdmann <[email protected]>
Sent: Tuesday, March 5, 2019 14:42
To: Sumo project User discussions
Subject: Re: [sumo-user] Distribution of vehicle types with 
vehTypeDistribution.py

This is not supported by createVehTypeDistribution.py
Also, you would get problems with correlated parameters (supposedly trucks are 
longer on average than passenger cars) and this could not be handled by the 
tool.

I recommend creating 3 distributions with different base probabilties by like 
this:

...
vClass; passenger
probability; 90

--------
...
vClass; truck
probability; 8
---------
...

and then merging them all into a single distribution. (could be done one a unix 
shell using  'head', 'tail', and 'cat')

regards,
Jakob

Am Di., 5. März 2019 um 11:53 Uhr schrieb Fredrik Nilsson 
<[email protected]<mailto:[email protected]>>:
Hi,

I am using vehTypeDistribution.py to generate a population of vehicles in my 
simulation and I was wondering how I could make it generate different vehicles 
types (with a certan distribution, e.g. 90% passenger cars, 8% trucks and 2% 
buses)? I currently use a config file like this (don't mind the numbers they 
are in the middle of running an optimization):

accel; normal(1.4999999999936855, 0.4999999999976304); [0.5, 1.5]
decel; normal(5.999999999999464, 0.7999999999995001)
sigma; normal(0.3000000000017896, 0.1999999999983296); [0.1, 1]
tau; gamma(18.198814787804807, 4.00000000000155); [0.5, 6]
length; normal(4.9, 0.2); [3.5,5.5]
minGap; normal(3.4514375986324963, 0.1000000000006245)
lcStrategic; normal(7.999999999999491, 0.8123908338568304)
lcCooperative; normal(0.10000000000437191, 1.0); [0.1, 1]
vClass; passenger           <------------------ Change something here I assume?
carFollowModel; Krauss

BR,
Fredrik
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