The AUTOPILOT project will deploy, test and demonstrate IoT-based automated services in four driving modes - urban driving, highway pilot, automated valet parking, and platooning - at several permanent pilot sites, in real traffic situations.
The Urban Driving use case requires automated driving vehicles to identify, predict and react in an array of complex situations. Fully automated vehicles will be tested driving from point A to B, without any action from the driver. However, the driver will be able to override and get back to manual driving at any time.
All AUTOPILOT pilot sites – Brainport, Livorno, Versailles, Vigo, Tampere and Daejeon City – will demonstrate the Urban Driving use case.
The platooning use case demonstrates vehicular platoons consisting of a lead vehicle and one or more highly automated or driverless following vehicles which have automated steering and distance control to the vehicle ahead. The control is supported by V2V communication. Two variants of platooning will be evaluated in the project:
- An urban variant to enable car rebalancing of a group of driverless vehicles involving only one driver in the lead vehicle (piloted in Versailles).
- A highway variant where one or more highy automated vehicles are going to follow a leading vehicle. The electronic allowance of the emergency lane (dedicated lane) will be tested, as well as dynamic platoon forming (to be piloted in Brainport).
Automated Valet Parking
In the Automated Valet Parking (AVP) use case, the driver is able to leave the car at some predefined drop-off location and is able to retrieve it once he/she needs it back. The operations of parking and manoeuvring the car in the parking area (inside or outside), retrieving it, and possibly other additional services, such as fueling, recharging or cleaning, will be managed by the parking management system.
The AVP use case will be deployed and evaluated in the AUTOPILOT pilot sites in Brainport, Tampere, and Vigo.
In the Highway Pilot use case, a cloud service merges the sensors' measurements from different IoT devices in order to locate and characterize road hazards. The goal is then to provide the following vehicles with meaningful warnings and adequate driving recommendations to manage the hazards in a safer or more pleasant way.
The Highway Pilot will be exploited at the AUTOPILOT pilot sites in Brainport and Livorno.
Real Time Car Sharing
The objective is to allow commercial and individual car sharing services to use automated driving cars. The service platform collects the end user needs and uses relevant data in the IoT platform to suggest car sharing (pick-up/drop-off) possibilities. Optimizing the allocation of the automated driving vehicles is achieved thanks to the availability of real time and reliable information about the vehicles’ current status and their scheduled routes by the fleet management system.