I stumpled across this intersting post on RTL-SDR.COM talking about monitoring TirePressureMeasurementSystems with a cheap SDR stick and a clever piece of software. The rtl_433 software receives and decodes signals transmitted by tire pressure sensors inside the wheels of modern (I assume at least from the last 10 years) cars.

My initial idea is, that I can monitor the traffic in front of my house - at least traffic of modern cars. As Germany is a car centric country, I expect to catch most of the traffic.

Hardware used

Software used

  • rtl_433 to control the SDR stick and decode a large bunch of wirelss protocolls (version rtl_433 version 21.12-93-g8228f0d4 branch master at 202204010924)
  • MQTT server running on a Raspbeery Pi
  • NodeRed server running inside a DOCKER container on a SYNOLOGY NAS
  • InfluxDB server running inside a DOCKER container on a Raspbeery Pi 4 pumping its data to an M2.SSD
  • Grafana server running inside a DOCKER container on a Raspberry Pi 4



rtl_433 is currently running on my regular Shack-PC using this command line:

rtl_433-rtlsdr.exe -v -M level -C si -R 89 -R 90 -R 93 -R 82 -R 59 -R 60 -R 88 -R 95 -R 110 -R 123 -R 156 -R 168 -R 180 -R 186 -R 203 -F "mqtt://,retain=0,events=dl2sba.de/rf/[type]/[model]/[id]" -F kv

I configured rtl_433 to listen only to the various protocols for TPMS. rtl_433 posts the received data packets in JSON format to a local MQ broker.

 {"time":"2022-04-03 09:56:01","model":"Toyota","type":"TPMS","id":"f211a9d6","status":128,"pressure_kPa":193.05321,"temperature_C":1.0,"mic":"CRC","mod":"FSK","freq1":433.92701,"freq2":433.87645,"rssi":-7.68193,"snr":15.06707,"noise":-22.749}


A simple NodeRed-flow listens to these topics on the MQ Broker and 

2022 04 03 09 57 48 Window


transforms the received JSON-data into JS objects. These are inserted into an InfluxDB time-series database.


Grafana is reading the InfluxDB data and visualizes this data:

2022 04 03 10 00 03 Window

The "empty" span during the night - rtl_433 was off ;-)

Next steps


Move the rtl_433 software and RTL-SDR stick to another unused Raspberry Pi and place it under the roof of my home.

I expect the RF coverage will be much better - lets see.


Currently the software detects and counts the number of TPMS sensors.

As a car usually has 4 sensors - you will get 1-4 readings depending on the transmit interval of the sensors in this specific car.

So there is no direct correlation between a single reading and a specific car. Lets see how I can handle this in the near future.






2014 CW (Morse Telegraphy) was added to the German Nationwide Inventory of Intangible Cultural Heritage.

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