Published January 13, 2020 | Version v1
Dataset Open

Brainport, Platooning, platoon with live traffic light

Description

Scenario description:

Platoon formation and platooning, from Helmond to Eindhoven and back to the Automotive Campus.
- Starting in urban area with speed limits of 15 and 30 km/h.
- Driving East on the Europaweg with speed limits of 50 and 70 km/h. This includes 3 crossings with traffic lights.
- Driving on the the N270, along the Automotive Campus. One crossing with traffic lights, just before the A270.
- Driving on the A270 (speed limit 100 km/h). Interrupted by one traffic light.
- U-turn at the fly-over or at the end of the A270, to return the same way to the Automotive Campus.

Session description:

Platoon formation and platooning, with live traffic light data included in planner.
- Live traffic light data available for planner
- Driver uses the Android app
- Starting at default locations
- Platooning (CACC and lane keeping) on the A270 when possible.

Datasets descriptions:

AUTOPILOT_BrainPort_Platooning_DriverVehicleInteraction: Data extracted from the CAN of the vehicle

This dataset contains e.g. throttlestatus, clutchstatus, brakestatus, brakeforce, wipersstatus, steeringwheel for the vehicle

AUTOPILOT_BrainPort_Platooning_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors

This dataset contains information about detected object, with absolute coordinates

AUTOPILOT_BrainPort_Platooning_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors

This dataset contains information about detected object, with relative coordinates

AUTOPILOT_BrainPort_Platooning_IotVehicleMessage: Data sent between all devices, vehicles and services

Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle.

AUTOPILOT_BrainPort_Platooning_PlatoonFormation: Data sent from PlatoonService to vehicle

This dataset contains information about the route and speed for a specific vehicle for forming a platoon

AUTOPILOT_BrainPort_Platooning_PlatooningAction: Data logged by vehicle

This dataset contains information about the current status of the platooning

AUTOPILOT_BrainPort_Platooning_PlatooningEvent: Data logged by vehicle

This dataset contains information about the identifiers used for each specific platooning event

AUTOPILOT_BrainPort_Platooning_PlatoonStatus: Data sent by vehicle to PlatoonService

This dataset contains information about the current status of the platooning

AUTOPILOT_BrainPort_Platooning_PositioningSystem: Data from GPS on the vehicle

This dataset contains speed, longitude, latitude, heading from the GPS

AUTOPILOT_BrainPort_Platooning_PositioningSystemResample: Data from GPS on the vehicle

This dataset contains speed,longitude,latitude,heading from the GPS, resampled to 100 milliseconds

AUTOPILOT_BrainPort_Platooning_PSInfo: Data sent by PlatoonService to the vehicle

This dataset contains speed and route information for the vehicle to create a platoon

AUTOPILOT_BrainPort_Platooning_Target: Data from sensors on the vehicle

Target detection in the vicinity of the host vehicle, by a vehicle sensor or virtual sensor

AUTOPILOT_BrainPort_Platooning_Vehicle: Data from the CAN and sensors about the state of the vehicle

This dataset contains a.o temperature and battery state of the vehicles

AUTOPILOT_BrainPort_Platooning_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle

This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors

AUTOPILOT_BrainPort_Platooning_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle

This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors

Files

120-Brainport_Platooning_2018-12-13-testH6.zip

Files (693.7 MB)

Name Size Download all
md5:e63c165dcdff7ea3effb36bf3ed626fb
18.0 MB Preview Download
md5:b2beb8c6ea4d4854ed309bb8a12a7da5
34.1 MB Preview Download
md5:b94d422d6acb42b6b32364484983bcbb
27.9 MB Preview Download
md5:c8fe46aaf26784d283cabdafe26df825
38.6 MB Preview Download
md5:7a6b1c6691ba9e2853efe9ad2e76f868
29.3 MB Preview Download
md5:a681aba71a1cc86ba8984da1f9bbdfb1
25.9 MB Preview Download
md5:90dc68100e4ade35ef4fe2aaa011b250
21.9 MB Preview Download
md5:e673df7712470c8f8bcaf2a3eb77dcfa
33.3 MB Preview Download
md5:07f0abddf073eb0125e00cc6ec96020c
32.7 MB Preview Download
md5:e7802f7bf8b56a02ab7a03e81f341107
36.8 MB Preview Download
md5:02203fc0fdac6296dcc07e33dc09f133
24.0 MB Preview Download
md5:2346c7269ce57b4b0587eaeecf7d9ba9
30.3 MB Preview Download
md5:b822b57897d6c9d332b0f5c2fc919369
37.7 MB Preview Download
md5:3351701603f44ae346a70c7f7ebac8d3
35.2 MB Preview Download
md5:d615560f2c7ec136b924871f8287e7ec
20.4 MB Preview Download
md5:5774cdf5862e6372d78827c99640eb9c
31.6 MB Preview Download
md5:1e3dc727889c8450970d59a0a1e16524
34.9 MB Preview Download
md5:32f63bd7b066fe635bae0a9665d43b63
32.6 MB Preview Download
md5:8d362bfbde0c3bb5a6070bdb618d7c68
45.0 MB Preview Download
md5:f03fe1704bb5ae84b8be124f7ca52aa4
34.3 MB Preview Download
md5:7bb60937c3ac4d0928c77355e047aef2
38.3 MB Preview Download
md5:de005c471b783c58f2b5428f0a96756f
30.8 MB Preview Download

Additional details

Funding

AUTOPILOT – AUTOmated driving Progressed by Internet Of Things 731993
European Commission