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....@gmail.com>:

> Hello Again,
> Following are the vehicle type definitions.
>
>
>
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>
>
> *<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.s...@gmail.com>
> wrote:
>
>> Please provide your traffic definitions.
>>
>>
>> Am Mo., 9. Mai 2022 um 09:21 Uhr schrieb Radha Reddy <
>> radha.reddy....@gmail.com>:
>>
>>> 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.s...@gmail.com>
>>> 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.
>>>> Check for
>>>> https://sumo.dlr.de/docs/Simulation/VehicleInsertion.html#delayed_departure
>>>>
>>>> Am So., 8. Mai 2022 um 09:21 Uhr schrieb Radha Reddy <
>>>> radha.reddy....@gmail.com>:
>>>>
>>>>> 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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