ADAS&ME (“Adaptive ADAS to support incapacitated drivers &Mitigate Effectively risks through tailor made HMI under automation”) will develop adapted Advanced Driver Assistance Systems, that incorporate driver/rider state, situational/environmental context, and adaptive interaction to automatically transfer control between vehicle and driver/rider and thus ensure safer and more efficient road usage. To achieve this, a holistic approach will be taken which considers automated driving along with information on driver/rider state. The work is based around 7 provisionally identified Use Cases for cars, trucks, buses and motorcycles, aiming to cover a large proportion of driving on European roads. Experimental research will be carried out on algorithms for driver state monitoring as well as on HMI and automation transitions. It will develop robust detection/prediction algorithms for driver/rider state monitoring towards different driver states, such as fatigue, sleepiness, stress, inattention and impairing emotions, employing existing and novel sensing technologies, taking into account traffic and weather conditions via V2X and personalizing them to individual driver’s physiology and driving behaviour. In addition, the core development includes multimodal and adaptive warning and intervention strategies based on current driver state and severity of scenarios. The final outcome is the successful fusion of the developed elements into an integrated driver/rider state monitoring system, able to both be utilized in and be supported by vehicle automation of Levels 1 to 4. The system will be validated with a wide pool of drivers/riders under simulated and real road conditions and under different driver/rider states; with the use of 2 cars (1 conventional, 1 electric), 1 truck, 2 PTWs and 1 bus demonstrators. This challenging task has been undertaken by a multidisciplinary Consortium of 30 Partners, including an OEM per vehicle type and 7 Tier 1 suppliers.

Lane-level positioning and map matching are some of the biggest challenges for navigation systems. Although vehicle telematics provide services with positioning requirements fulfilled by low-cost GNSS receivers, more complex road and driver assistance applications are increasingly been deployed, due to the growing demand. These include lane-level information as well as lane-level navigation and prioritised alerts depending on the scenario composition (traffic sign, navigation instructions, ADAS instructions). These applications need a more accurate and reliable positioning subsystem. A good example of these new requirements can be witnessed in the increasing interest in navigation at lane-level, with applications such as enhanced driver awareness, intelligent speed alert and simple lane allocation. As well as the accuracy of positioning data being a big driver, there is also a question around the adaptability of navigation systems to these applications. This depends firstly on the availability of an accurate common reference for positioning (an enhanced map) and secondly, on the level of the provided pose estimation (integrity). However, neither the current road maps nor the traditional integrity parameters seem to be well suited for these purposes. Delivering lane-level information to an in-vehicle navigation system and combining this with the opportunity for vehicles to exchange information between themselves, will give drivers the opportunity to select the optimal road lane, even in dense traffic in urban and extra-urban areas. Every driver will be able to choose the appropriate lane and will to be able to reduce the risks associate with last-moment lane-change manoeuvres. inLane proposes new generation, low-cost, lane-level, precise turn-by-turn navigation applications through the fusion of EGNSS and Computer Vision technology. This will enable a new generation of enhanced mapping information based on crowdsourcing.

The C-MobILE (Accelerating C-ITS Mobility Innovation and depLoyment in Europe) vision is a fully safe & efficient road transport without casualties and serious injuries on European roads, in particular in complex urban areas and for Vulnerable Road Users. We envision a congestion-free, sustainable and economically viable mobility, minimizing the environmental impact of road transport. C-MobILE will set the basis for large scale deployment in Europe, elevating research pilot sites to deployment locations of sustainable services that are supported by local authorities, using a common approach that ensures interoperability and seamless availability of services towards acceptable end user cost and positive business case for parties in the supply chain. The C-MobILE project will produce 7 key results: - C-ITS framework defined in partnerships with major stakeholders for proposing key deployment enabling solutions on existing pilot sites, including business cases - Strategic Research Agenda defined for key researching and innovation areas that promote sustainable C-ITS deployments and will lead towards automated transport in Europe - Assessment including CBA of the cumulative real-life benefits of clustering C-ITS applications and integrating multiple transport modes in the C-ITS ecosystem - Open secure large-scale C-ITS deployment of new and existing applications demonstrated in complex urban environments interoperable across countries involving large groups of end users - Provide an open platform towards C-ITS sources to support deployment of service concepts on commodity devices, validated by developer communities - Validated operational procedures for large-scale deployment of sustainable C-ITS services in Europe - Released testing methodologies to evaluate the proven impact of C-ITS architectures and services

The main pillars of PIONEERS are to achieve a deep understanding of the injuries sustained by PTW users, improve the performance of safety systems (Personal Protective Equipment, PPEs, and on-board systems), to develop better test and assessment methods and to increase the use rate of PPE. The improved performance will be achieved by understanding the most safety-critical accident scenarios and impact conditions to reach a higher level of understanding on how the injuries occur and by developing more reliable, realistic and robust test methods. An increased use will be fulfilled by listening to the riders’ needs, improving the systems in terms of comfort (without compromising safety) and carrying out active awareness raising and dissemination actions. The main goal of the PIONEERS project is to improve the safety of PTWs (both conventional and electric) by providing an integrated approach to rider protection considering on-rider (PPE) and on-board systems. Therefore, this project will investigate and assess the direct contribution to the reduction of fatalities and the severity of injuries, as well as the number of injured PTW users. The tools for that are developing new PPEs and on-board safety systems, as well as improving the validation and assessment methods and increasing the usage rate of such devices. Developing high-quality products (PPEs and on-board systems) from the European manufacturers and sensitizing the PTW users for the enhanced safety potential of those products will not only increase the safety level for PTW users but will also strengthen European competitiveness. Finally, the main results of PIONEERS will be: (i) higher understanding of injuries suffered by the riders (ii) better testing methods enabling better performance assessment and (iii) better products (PPEs and on-board systems) achieving an increased safety level for PTW users.

Drive2theFuture aims to prepare “drivers”, travelers and vehicle operators of the future to accept and use connected, cooperative and automated transport modes and the industry of these technologies to understand and meet their needs and wants. To achieve this, it models the behaviour of different automated vehicle “drivers” & prognoses acceptance for several automated driving scenarios, develops specialized training tools (3D automated scenarios for VR-goggles, web applications and social media platforms), content, optimized HMI for “driver”-vehicle handovers, CEA and MCA studies for selection of most favorable automated functions realisation and then demonstrates them in 12 Pilots across Europe,and in 3 major events. Pilots cover all automated transportation modes (Automated car, PTW, truck, bus, mini-bus, rail, workboat and drones) and involve driving/riding/rail simulators, VR/AR simulation toolkits, test tracks and real world environments, in which over 1000 AV drivers/passengers, 200 AV operators and 20000 involved citizens experience automation from few hours to 6 months. KPI’s, such as user acceptance, user awareness/appreciation of actual automated function performance (gap between expectations and reality), automated operation efficiency and cost effectiveness, are defined and will be followed through subjective and objective (conflicts analysis) tools. The automated vehicles “driver”/rider/operator behaviour will be modelled and due emphasis is given to cross fertilization issues among different modes. The project will also research relevant legal, ethical and operational issues (with strong user involvement through FIA and 4 of its Clubs, UITP and IRU), the interaction between automated vehicles and relevant MaaS and will issue guidelines, policy recommendations and a user acceptance path Roadmap to Automation. This challenging task is undertaken by 31 Partners from 13 European countries; through 10 interrelated workpackages, over 36 months.