| Parameter | TESLA-Home-Network-two-weeks-20240101 |
|---|---|
| collection start date | 2025-04-29 20:06:00 |
| collection end date | 2025-04-29 21:33:59 |
| commercial use allowed | No |
| product review required | Yes |
| ongoing measurement | No |
| retrieval instructions | download |
| file type | pcap |
| download size | 189M |
| usage agreement | dua-wes-20240420 |
| IRB approval required | No |
This dataset contains PCAP files collected from a 2022 Tesla model Y.
This data was collected over an hour and a half of driving in Northern California, US. It was recorded using a T-Mobile cellphone hotspot (see the Network Description below). Part of the drive was in an area with no cellphone reception to test what network connectivity was attempted in areas of no service.
PCAPs were collected by using tcpdump filtered by the
ethernet MAC address for the Tesla.
The following files are available in this dataset:
| Filename | Description |
|---|---|
| 2025-04-29-12-52-driving.pcap | The recorded internet traffic |
| notes.csv | Manually recorded events |
The notes.csv file contains a timestamp
column and a description column. These notes were manually
recorded using a rough timestamp from a cellphone’s clock. They record
both events happening on the road, as well as events from interactions
with the car such as playing music or videos.
To record data while driving, the car was connected to a T-mobile cellular hotspot from a phone routed through two laptops:
Tesla Y <-----> Laptop1 <------> Laptop2 <-----> Phone <----> T-Mobile
WiFi Ethernet WiFi Celluar
The owners of the Tesla agreed to the recording of this data and consent to its release under the terms of condition available on the COMUNDA portal. The only recordings made were external to the Tesla itself through the networks it connected through, and the Tesla owners also owned and controlled the network where the collection infrastructure was deployed.
If you use this trace to conduct additional research, please cite it as:
Tesla driving dataset, 2025. Provided by Wes Hardaker with the PIVOT project https://www.pivot-auto.org/.