|[sumo-dev] New Feature Road Friction|
I have finally gotten around to integrating the friction feature we have been using for a while now.
It was already presented at the SUMO User Conference in 2019 (https://doi.org/10.29007/cqps
“Introducing Road Surface Conditions into a Microscopic Traffic Simulation”), but now I managed to clean it up and create a pull request.
What it is:
Basically, just an extension of the network properties by a "friction" attribute, representing the available friction between a vehicle and the road. (See publications)
However, it comes with two adapted CarFollowing Models, KraussFric (the default one with an adaptation) and ACCFric:
Note that in both cases, they behave exactly like their parent for a value (default) of 1.0! --> That is a feature :)
Furthermore, it comes with a device (MSDevice_Seeroad) that mimics a sensor system that you can equipp to a vehicle that "measures" the value on the road. It comes with a statistical model. For simplicity, it is only white noise. You can adapt:
if you want via the custom attributes.
I pulled and merged with the version from Mar 16 2022 11 a.m. (1.12.xxx) and compiled Windows and Ubuntu 20.04 LTS both working and passing my tests.
You can find example scenarios to play and test with here: (same github as the fork that you need for them to work)
On the Potential of a Weather-Related Road Surface Condition Sensor Using an Adaptive Generic Framework in the Context of Future Vehicle Technology
Abschlussbericht: (Final Project Report (German))
Sensorsystem zur autonomen Fahrbahnzustandserkennung (SEEROAD) : Abschlussbericht : Teilvorhabenbezeichnung: Fahrzeugmodell, Fahrzeugsimulation : Laufzeit: 1. März 2017-29.Februar 2020
SUMO User Conference 2019 (English)
Introducing Road Surface Conditions into a Microscopic Traffic Simulation
For questions, feel free to contact me anytime here or via: thomas.markus.weber@xxxxxxxxxx
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