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Re: [sumo-user] Differences in Krauss CFM Output
I'd expect the discrepancy to vary when you run sumo with different random seeds with an expected difference of 0.
See https://sumo.dlr.de/docs/Simulation/Randomness.html#random_number_generation_rng

Am Mo., 9. Mai 2022 um 10:30 Uhr schrieb Radha Reddy <radha.reddy.ipp@xxxxxxxxx>:
Hello Again,
Following are the vehicle type definitions.


<vType id="typeHD" accel="2.6" decel="4.5" emergencyDecel="9" length="5" minGap="5" maxSpeed="8.33333" guiShape="passenger" delta="4" tau="1" sigma="0.5" eClass="HBEFA3/PC_G_EU4" probability="0.9" color="1, 0, 0" />
        <vType id="BEV" accel="2.6" decel="4.5" emergencyDecel="9" length="5" minGap="5" maxSpeed="8.33333" guiShape="passenger" delta="4" tau="1" sigma="0.5" emissionClass="Energy/unknown" probability="0.1" color="1,1,1">
            <param key="has.battery.device" value="true"/>
            <param key="actualBatteryCapacity" value="10000"/>
            <param key="maximumBatteryCapacity" value="64000"/>
            <param key="maximumPower" value="150000"/>
            <param key="vehicleMass" value="1520"/>
            <param key="frontSurfaceArea" value="5"/>
            <param key="airDragCoefficient" value="0.35"/>
            <param key="internalMomentOfInertia" value="0.01"/>
            <param key="radialDragCoefficient" value="0.5"/>
            <param key="rollDragCoefficient" value="0.01"/>
            <param key="constantPowerIntake" value="100"/>
            <param key="propulsionEfficiency" value="0.98"/>
            <param key="recuperationEfficiency" value="0.96"/>
            <param key="stoppingTreshold" value="0.1"/>
        </vType>
       
        <vTypeDistribution id="typedist1" vTypes="typeHD BEV"/>

Regards
Radha

On Mon, May 9, 2022 at 9:26 AM Jakob Erdmann <namdre.sumo@xxxxxxxxx> wrote:
Please provide your traffic definitions.


Am Mo., 9. Mai 2022 um 09:21 Uhr schrieb Radha Reddy <radha.reddy.ipp@xxxxxxxxx>:
Many thanks for your kind information.

I have tried from 10% to 90% of electric vehicles with 90% to 10% of gasoline vehicles, and the average of several runs compared.

In all the cases, I observed similar results that electric vehicles are higher ~40veh than gasoline. The observed departure delays around 1h are between 0 and 11s. I am not sure if the departure delay is a strong reason.

Regards
Radha

On Mon, May 9, 2022 at 6:51 AM Jakob Erdmann <namdre.sumo@xxxxxxxxx> wrote:
Most likely, this is an artifact of defining more vehicles than the road can take in a way that makes one of the two types more likely to start.

Am So., 8. Mai 2022 um 09:21 Uhr schrieb Radha Reddy <radha.reddy.ipp@xxxxxxxxx>:
Hello,

Hope everything is going well.

I tried to analyze the Krauss CFM with 50% Gasoline and 50% Electric vehicles, with identical parameter values.

When I compare the number of vehicles in a specific time period, say 1h, the electric vehicles are higher than the gasoline vehicles, 40veh. I do not understand where it went wrong or why this difference?

Regards
Radha
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