Perfect!

Thank you for this.

Is there any way of running this model at a constant speed? I saw something 
in the thesis about a predefined speed. Is this implemented? 

/Oskar

torsdag 13 juni 2024 kl. 17:01:55 UTC+2 skrev [email protected]:

> Hello Oskar,
>
> If you do not need visualization and are happy with the vehicle operating 
> on a rigid terrain, you could check out the library of low-fidelity vehicle 
> models - https://github.com/uwsbel/low-fidelity-dynamic-models. Herein 
> there are 3 models with varying fidelity, the 11 DoF model which is the 
> fastest, the 18 DoF model and the 24 DoF model which is the slowest but 
> most expressive. Each of these models take as input the same commands as a 
> Chrono Vehicle - throttle, brake and steering. These models are much faster 
> than real-time. For instance, the 18 DoF model on a commodity CPU is 3835 
> times faster than Real Time. So 3600 seconds should take about 1 second to 
> simulate. The models are also available on Nvidia GPUs 
> where you could run upto 150,000 18 DoF models in real-time. 
>
> However, do note that these models are standalone and are not yet part of 
> Project Chrono. 
>
> If you are looking for something within Project Chrono, you could improve 
> computational speed by simplifying the vehicle model by using simplistic 
> vehicle components. Here is a nice demo where you can play around with 
> different fidelity's of vehicle sub-systems for a HMMWV vehicle model and 
> understand the computational speed of each - 
> https://github.com/projectchrono/chrono/blob/main/src/demos/vehicle/wheeled_models/demo_VEH_WheeledJSON.cpp
>
> Hope I answered your question :)
> On Thursday, June 13, 2024 at 8:45:06 AM UTC-5 [email protected] wrote:
>
>> Hi,
>> I am working on a project where the time it takes for the simulation is 
>> important. I am simulating a car running in a straight line at constant 
>> speed for 3600 seconds (one hour). Is there any way to make this simulation 
>> fast? It currently takes about 6 minutes to do it, but for me that is sadly 
>> not sufficient.
>>
>> Any tips?
>>
>> /Oskar
>>
>

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