Published January 10, 2020 | Version v1
Dataset Open

Brainport, Platooning, baseline of platoon formation

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:

Baseline of platoon formation only, up to A270, no platooning. Without any IoT, so no speed advices.
- No live traffic light data available for planner
- Starting at default locations
- Meeting at the location of vehicle2 on the Automotive Campus
- No platooning or other automated driving.

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

199-Brainport_Platooning_2019-04-10-testL4.zip

Files (38.0 MB)

Name Size Download all
md5:f8cb0a962aaeb3d64f6fa2c5accd7b02
38.0 MB Preview Download

Additional details

Funding

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