CAM Trials

Innovative use cases in CAM pilots

The CAM pilots will allow to better understand the roles, relations and responsibilities of market players within the CAM ecosystem.

For all use cases, the network, service-level and business perspectives will be validated against pre-defined target KPI values during the trials. The differentiation and correlation of the KPIs is as follows:

  • The network KPIs, which are related to the 5G communication network, describe the requirements for information exchange between road users and between the users on the move and the infrastructure. Such KPIs include throughput, mobility, latency, connection density, reliability, positioning accuracy, handover time, etc.
  • The service-level KPIs, which are related to CAM services, describe the behaviour of the services for the users and goods on the move, e.g. vehicle drivers, vehicle, railway operation, railway and maritime passengers, cargo, etc. Such KPIs include service continuity, service interruption time, Quality of Experience (QoE), etc.
  • The business KPIs, which are related to the business perspective of the CAM services, and include cost/benefit analysis to justify investment and commercial benefits, revenue generation models, reduced OPEX, CAPEX, etc.

Cross-border Use Cases

Use Case Category (UCC) 1: Automated Cooperative Driving

Automated driving involves an increased level of automation of the vehicle functions and a reduction of the involvement of the driver. However, to achieve the vision of fully autonomous driving, several key enabling capabilities need to be implemented both in vehicles as well as in communication networks. 5G connectivity associated with V2X communication functions, dynamic mapping, accurate positioning, edge-based and AI solutions are expected to overcome most of these challenges by providing more visibility and cooperative decisionmaking mechanisms through communication with the infrastructure and surrounding vehicles. Therefore, MECenabled 5G RAN nodes, enhanced with AI, continue to gain more intelligence and capacity to support evolving network demands and superior network experiences that are necessary for the realisation of highly automated cooperating driving.

Use Case 1.1: Dynamic vehicles platooning to enable vehicles to dynamically form a group travelling together and very close to each other

Use Case 1.2: Cooperative lane change to perform joint maneuver decisions and coordinate driving trajectories amongst a group of vehicles, in order to enhance the safety and help the vehicles getting through difficult traffic situations.

Use Case 1.3: See-Through view for safe automated to provide enhanced visibility of road awareness for safe automated overtake in order to prevent catastrophic head-on collisions during an automated overtake manoeuvre.

Use Case Category (UCC) 2: Awareness Driving

The primary objective of UCC2 is to enable the reliable exchange of road traffic status data, such as enhanced real-time traffic video feeds and control in complex intersections via V2X communication, e.g. the position, speed, driving trajectories, VRUs, so as to enable safe passing and avoiding collisions as well as providing user comfort in traffic jams during automated driving.

Use Case 2.1: Real-time traffic information and cooperative intersection collision control to provide enhanced real-time traffic visual monitoring and control of intersection traffic for cooperative automated driving for safe passing and avoiding collisions with other vehicles and VRUs.

Use Case 2.2: Traffic jam chauffeur to provide automated driving functionality in traffic jams for increased user comfort and satisfaction.

Use Case Category (UCC) 3: Sensing Driving

The primary objective of UCC3 is to enable connected vehicles to share observations gained by sensors, and advanced environmental information, to gain enhanced situational awareness especially for the presence of noncommunicating VRUs who are beyond the direct line of sight of drivers, as well as to create a preventive maintenance framework with predictive analytics, to enable long-term maintenance and repair services throughout the lifetime of vehicles. In this way, other traffic participants may be warned in advanced against dangers they could not perceive themselves, whilst protecting VRUs in different traffic situations.

Use Case 3.1: Sensor info sharing for cooperative situation awareness to allow connected vehicles travelling in close proximity to each other in motorways, to form part of a group to exchange sensor data, collaborate and thus guarantee the safety for all involved nearby vehicles.

Use Case 3.2: Connected maintenance to create a preventive maintenance framework and a new maintenance business model through which the data collected from the sensors, in combination with predictive analytics, enable long-term maintenance and repair services thus enabling customer support to follow the vehicles owners throughout the lifetime of their vehicles.

Use Case 3.3: Vulnerable Road User (VRU) Collision Avoidance to extend safety protection for VRU by enabling reliable interaction between active vehicle and surrounding passive VRUs.

Use Case Category (UCC) 4: Uninterrupted infotainment passenger services on the go

The objective of UCC4 is to allow and enable multimodal passengers to exploit the high-performance capabilities of 5G networks while on-route and when crossing EU member states borders. The expectations are for the same seamless user experience everywhere, both for productivity purposes and for entertainment. In this regard, 40-50 end-users, participants in the following use cases will be provided with 5G enabled smartphones equipped with relevant applications (as described below) so that they can test the experience and provide us with feedback together with QoE evaluation, also helping us in validating the business potential of the use cases.

Use Case 4.1: 360o Immersive multi-user gaming on the go to provide uninterrupted 360o immersive multi-user gaming experience to validate how business continuity can be achieved across borders and across different means of transport (i.e. automotive, railways and maritime)

Use Case 4.2: 3D real-time virtual collaboration on the move to provide seamless uninterrupted 3D virtual collaboration experience to validate how business continuity can be achieved across borders and across different means of transport (i.e. automotive, railways and maritime).

Use Case Category (UCC) 5: Multimodal services

FRMCS as the successor of GSM-R is a key enabler for rail transport digitalisation. Furthermore, it is equally important to have uninterrupted and seamless service delivery to passengers and visibility of tracked goods through different modes of transport, such as for example, when changing vehicles or trains to onboard ship liners for journey continuation. In this regard, the QoE for the service should remain unaltered irrespective of the change of transport means, the 5G network provider (terrestrial and/or satellite) and country.

Use Case 5.1: Goods tracking visibility in multimodal cross border logistics to provide seamless tracking of massive amount of goods to validate how business continuity can be achieved across borders, across different means of transport (i.e. automotive, railways and maritime) massive Machine Type of Communications (mMTC) and across terrestrial and satellite 5G operators.

Use Case 5.2: 5G-based Proactive and Multimodal Management of Passengers and Freight to provide proactive and multimodal management of passengers and freight when crossing borders including across terrestrial and satellite 5G operators.

Use Case 5.3: FRMCS telemetry operation to improve service availability and performance for telemetry operation of railways through FRMCS.