When I use the Game Bar to capture video of a SUMO simulation, the video
frame is the correct size, but the SUMO screen is only 2/3 of actual size
and the rest is black. The last time I used SUMO a couple of years ago,
this did not happen. The Game Bar correctly captures other windows, like my
So I tried using--trip-attributes "departLane=\"best\" maxspeed=\"70\" color=\"255,255,255\""With -p (0 - 3600/10)As I need 10 randomly scattered But what I got was 1617 instances of yellow emergency vehicles, and I’m not sure whether maxspeed 70 was in itAnd is maxspeed is in km/h or m/s? What I
the output of routeSampler fulfills the traffic count all by itself it only
uses the route information from the input (the number of different vehicles
in the input is ignored).
For generating multiple modes you need to run routeSampler repeatedly with
corresponding count values. See
Hi Ifezue,
starting with the csv file obtained by xml2csv.py you find the personId
in column W (named personinfo_id) and the waiting time in column AJ
(named ride_waitingTime).
Look for all lines, where ride_waitingTime is not empty and do the data
processing you need on it.
Regards,
- For varying the amount of vehicles, see
https://sumo.dlr.de/docs/Tools/Trip.html#traffic_volume_arrival_rate
- speedDev is the standard deviation relative to the speed limit. The
default is 0.1 which lets 68% of the vehicles drive at 90%-110% of the
speed limit.
- fringeFactor increase the
Hello,
xml2csv.py is not suited for extracting mixed personInfos and tripInfos.
If your persons are doing nothing else but ride, you can make it work by
setting option '--device.tripinfo.probability 0' which disables tripinfo
output for the vehicles.
Alternatively, call
The air drag coefficient applies to the relative velocity of the vehicle to the
air mass - a headwind of 5km/s means the effective speed of the vehicle for
drag calculation is increased by 5km/s
A tailwind of 5km/s means that the effective speed of the vehicle for drag
computation is reduced
The Pollutants Interface, specifically
utils/emissions/HelpersEnergy.cpp is where the energy needed to overcome air
resistance is applied.
Original Message
On 3 Dec 2021, 13:08, Iñaki Cejudo Fresnadillo via sumo-user wrote:
> Hi,
>
> I would like to simulate different wind
Sorry, I have realised that I have made a mistake in my aproach. The speed
facotr doesn't refer to the air but to the object in movement. I guess I'll
have to check the default wind speeds that are used to get
this airDragCoefficient value.
El vie, 3 dic 2021 a las 14:08, Iñaki Cejudo Fresnadillo
Hi,
I would like to simulate different wind speeds for an electric vehicle. I
was thinking of editing the airDragCoefficient to simulate this.
The aproach would be finding in source files where this coefficient is
aplied to the drag force formula, checking the wind speed factor that has
been set,
Hello Everyone
I am aware that wait times can be can be obtained for individual person
trips, but I was wondering if it is possible to get wait times for persons
within a person flow?
When I look at the trip-info output I notice their is a wait time output
for the person flow. However, I was
Thank you for providing all the example inputs. The problem was caused by a
netconvert regression and is now fixed (for details see
https://github.com/eclipse/sumo/issues/9701).
You can obtain a fixed version starting tomorrow at
Dear Users, I have generate both truck and passenger vehicles using Random trips, however I’d like to generate only 10 emergency vehicles randomly scattered in the span of 3600 seconds, with the max speed varying 70 km/h (give or take 10 km/h), also I’d like the model to look like a white
Thank you for providing the example files.
The crash was caused by a particular road configuration and is now fixed:
https://github.com/eclipse/sumo/issues/9718
KraussPS was not directly responsible for the crash but it did highlight
the problem that opposite overtaking did not take slopes into
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