DOI: 10.5281/zenodo.3606480
title: Brainport, Platooning, formation and platooning without traffic

description: <strong>Scenario description</strong>: Platoon formation and platooning, from Helmond to Eindhoven and back to the Automotive Campus.<br> - Starting in urban area with speed limits of 15 and 30 km/h.<br> - Driving East on the Europaweg with speed limits of 50 and 70 km/h. This includes 3 crossings with traffic lights.<br> - Driving on the the N270, along the Automotive Campus. One crossing with traffic lights, just before the A270.<br> - Driving on the A270 (speed limit 100 km/h). Interrupted by one traffic light.<br> - U-turn at the fly-over or at the end of the A270, to return the same way to the Automotive Campus. <strong>Session description</strong>: Platoon formation and platooning, without live traffic light data included in planner.<br> - No live traffic light data available for planner<br> - Driver uses the Android app<br> - Starting at default locations<br> - Platooning (CACC and lane keeping) on the A270 when possible. <strong>Datasets descriptions</strong>: <strong>AUTOPILOT_BrainPort_Platooning_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle This dataset contains e.g. throttlestatus, clutchstatus, brakestatus, brakeforce, wipersstatus, steeringwheel for the vehicle <strong>AUTOPILOT_BrainPort_Platooning_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors This dataset contains information about detected object, with absolute coordinates <strong>AUTOPILOT_BrainPort_Platooning_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors This dataset contains information about detected object, with relative coordinates <strong>AUTOPILOT_BrainPort_Platooning_IotVehicleMessage</strong>: 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. <strong>AUTOPILOT_BrainPort_Platooning_PlatoonFormation</strong>: Data sent from PlatoonService to vehicle This dataset contains information about the route and speed for a specific vehicle for forming a platoon <strong>AUTOPILOT_BrainPort_Platooning_PlatooningAction</strong>: Data logged by vehicle This dataset contains information about the current status of the platooning <strong>AUTOPILOT_BrainPort_Platooning_PlatooningEvent</strong>: Data logged by vehicle This dataset contains information about the identifiers used for each specific platooning event <strong>AUTOPILOT_BrainPort_Platooning_PlatoonStatus</strong>: Data sent by vehicle to PlatoonService This dataset contains information about the current status of the platooning <strong>AUTOPILOT_BrainPort_Platooning_PositioningSystem</strong>: Data from GPS on the vehicle This dataset contains speed, longitude, latitude, heading from the GPS <strong>AUTOPILOT_BrainPort_Platooning_PositioningSystemResample</strong>: Data from GPS on the vehicle This dataset contains speed,longitude,latitude,heading from the GPS, resampled to 100 milliseconds <strong>AUTOPILOT_BrainPort_Platooning_PSInfo</strong>: Data sent by PlatoonService to the vehicle This dataset contains speed and route information for the vehicle to create a platoon <strong>AUTOPILOT_BrainPort_Platooning_Target</strong>: Data from sensors on the vehicle Target detection in the vicinity of the host vehicle, by a vehicle sensor or virtual sensor <strong>AUTOPILOT_BrainPort_Platooning_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle This dataset contains a.o temperature and battery state of the vehicles <strong>AUTOPILOT_BrainPort_Platooning_VehicleDynamics</strong>: 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 <strong>AUTOPILOT_BrainPort_Platooning_VehicleDynamics</strong>: 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