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https://github.com/tumftm/dt-cargo

Recorded Real Driving Data and Computed Track-Wise Metadata
https://github.com/tumftm/dt-cargo

fleet gnss logistics mobility road-freight-transport trucks

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Recorded Real Driving Data and Computed Track-Wise Metadata

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README 

        
# DT-CARGO dataset



Dataset of Trucks' Anonymized Recorded Driving and Operation



### Getting started



A working installation of conda package manager is required.



First, install the provided environment. 

 

`conda env create -f environment.yml`



Activate the environment



`conda activate dt_cargo`



Add the environment as a jupyter kernel.



`python -m ipykernel install --user --name=dt_cargo`



### fleet.csv

The overview of the analyzed fleets.



Column | Data Type | Unit | Description

---|---|---|---

vehicle_id | int | - | Unique serial id of each vehicle

fleet_test_id | int | - | Unique serial id of the fleet the vehicle belongs to

gross_vehicle_weight | int | - | Gross Vehicle Weight Rating (without trailer)

total_mass_with_trailer | int | kg | Gross Combination Weight Rating 
(with trailer,equals gross_vehicle_weight 
if no trailer can be attached)

axle_class | int | - | Vehicle class according to [3]



### tracks.csv

The overview of track-wise measured and computed data.



Column | Data Type | Unit | Description

---|---|---|---

track_id | int | - |  Unique serial id of each recorded track 
(ordered by vehicle_id and start_time)

vehicle_id | int | - |  Unique serial id of each vehicle

tour_id | int | - |  Serial id of each tour, assigned to 1..N tracks

start_time | timestamptz | - |  Start time of the recording with time zone at time of recording

stop_time | timestamptz | - |  Stop time of the recording with time zone at time of recording

distance | int |  m | Dis tance driven during track

track_gap | float |  m | Dis tance gap to following track

avg_speed | float | m/s | Average speed

max_speed | int | m/s | Maximum speed within track

n_signal_loss | int | - |  Number of signal loss events during recording

d_signal_loss | float |  m | Dis tance covered during signal losses

r_signal_loss | float | - |  Ratio of signal loss distance to recorded distance

avg_hdop | float | m | Average horizontal degree of precision during recording

home_base | bool | - | End of recording is at home base of fleet operator

long_haul | bool | - | End of recording is more than 150 km away from home bases

rest_area | bool | - |  End of recording is at an unserviced rest area

service_area_fuel | bool | - |  End of recording is at a service area

industrial_area | bool | - |  End of recording is in an industrial area

cid | int | - |  Cluster id of last location in recording.



### speed.csv

Speed and precision data of each individual track with 10Hz sampling.

Speed data are stored in speed.zip in the folder speed/{vehicle_id}/{track_id}.csv

In this repository only the Example track is provided, please refer to [1] for the full dataset.



Column | Data Type | Unit | Description

---|---|---|---

epoch | int | s | Unix timestamp of measurement
 in time zone “Europe/Berlin”

speed | int | m/s | Speed at measurement in m/s

hdop| int | m | Horizontal degree of precision during recording [2]



[1] Zenodo Dataset TODO



[2] u-blox, “MAX-M8 series u-blox M8 concurrent GNSS modules Data Sheet”, UBX-15031506-R05 [Revised May 2019]



[3] Bundesanstalt für Straßenwesen, „Datensatzformat der Achslast-

Jahresauswertungen (ALJA)“, 2018. Accessed: 22 nd Jan 2023 [Online]. Available:

https://www.bast.de/DE/Statistik/Achslast/Daten/Daten-Beschreibung.pdf



### Contributing and Support



For contributing to the code please contact:  



Georg Balke 

Institute of Automotive Technology  

Technical University of Munich  

  

mail: [email protected]



### Versioning



V1.1 



### Authors



Georg Balke, Lennart Adenaw



### License



DT-CARGO is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/



A human-readable summary can be found under https://opendatacommons.org/licenses/odbl/summary/. Disclaimer: This is not a license. It is simply a handy reference for understanding the ODbL 1.0 — it is a human-readable expression of some of its key terms. This document has no legal value, and its contents do not appear in the actual license. Read the full ODbL 1.0 license text for the exact terms that apply.



### Associated Article

Balke,G. and Adenaw, L. "Heavy commercial vehicles' mobility: Dataset of trucks' anonymized recorded driving and operation (DT-CARGO)"

https://doi.org/10.1016/j.dib.2023.109246