New technologies in transport enabled systems with the capacity to improve safety, efficiency, sustainability and comfort. Advances in vehicle automation allow the circulation of vehicles with a minimal human intervention in the near future. However, this irruption brings new technical and non-technical challenges that are to be addressed to ensure safe adoption of level 3 automated vehicles.
Based on existing prototypes of automated vehicles (provided by the consortium), multidisciplinary research will be performed to ensure the needs of the users (drivers), other road users (other drivers and Vulnerable Road Users (VRUs)), and the perspectives of stakeholders (driving instructors, insurance companies, authorities, certifiers, policy makers and regulators), as a key for obtaining viable and market-ready products. This main objective is further detailed in the following ones:
1) Multidisciplinary (human, social, economic, security, legal and ethical considerations) study of the requirements and expectations of the drivers, VRUs, and stakeholders to assure safety and adoption of automated vehicles.
2) Turning requirements into innovative interaction and monitoring concepts for driver-vehicle interaction in order to bridge the gap between users and automation technologies while assuring safe vehicles handling with reduced driver attention.
3) Turning requirements into innovative monitoring concepts for vehicle-environment interaction, enhancing current Advanced Driving Assistance Systems (ADAS) through the inclusion of predictive capabilities for better and faster ADAS reactions (nominal and emergency).
4) Validating requirements, user acceptance and impact assessment through realistic user-centric testing exercises under different scenario conditions.
5) Paving the way for further adoption of the technology by the automation industry, by evolving in testing and pre-validation protocols, proposing advancements in the regulation and consumerist assessment.
There is currently a high desire by manufacturers to introduce Automated Vehicles (AVs), SAE level 3 and above, to the market. As AVs are likely to be deployed in mixed traffic, they need to interact safely and efficiently with other (non-equipped) users, including manually driven vehicles, cyclists and pedestrians. Although obstacle detection by AVs is almost flawless, these vehicles cannot communicate their intentions to other road users. This limitation currently reduces their appeal and value to the user. To ensure intuitive and cooperative interaction between the AV and others, and a smooth flow of all traffic, it is essential that there is good means of communication between all actors. The main objective of interACT is to substantially improve this communication and cooperation strategy. interACT will provide an overview of current human-machine interactions in mixed traffic, and increase chances of safe deployment of AVs by developing novel software and HMI hardware components for reliable and user-centric communication between an AV with its users.
1) Use social-psychological models to compile a catalogue of interactions, identifying the main communication needs of road users in current and future traffic scenarios
2) Improve software algorithms and sensor capabilities for assessing intention recognition and behaviour prediction of surrounding road users
3) Use a Cooperation and Communication Planning Unit to integrate planning algorithms, providing synchronised and integrated communication protocols
4) Ensure safety of road users by developing easy-to-verify software for a safety layer, and novel methods for fail-safe trajectory planning.
Prototypes will be developed and evaluated in multi-actor simulators and two test vehicles, assessing ease-of-use, acceptance, safety and reliability. The impact of this successful communication on reduction of crashes, improvement of traffic flow and acceptance of AVs by society will be investigated.
Automated driving can be implemented with relatively simple controllers if the current location of the ego vehicle and the current and future locations of other road users are known without uncertainty. However, this is not going to happen in the initial stages of the introduction of automated driving systems into the market. As a consequence, system and human driver uncertainty pose a significant challenge in the development of trustable and fault-tolerant automated driving controllers, especially for conditional automation (SAE level 3) in mixed traffic scenarios. The TrustVehicle consortium brings together participants from the whole vehicle value chain to enhance safety and user-friendliness of level 3 automated driving systems.
The main objectives are:
(i) the systematic identification of critical road scenarios based on in-depth analysis of possible traffic situations and human behaviour;
(ii) the setup of new tools for the cost- and time-effective assessment of driver-in/off-the-loop situations;
(iii) design of controllers and sensor fusion systems capable of dealing with complex, uncertain and variable road scenarios to enhance road safety;
(iv) the implementation of intuitive human-machine interfaces for the safe management of the transition phases taking into account user acceptance and gender-specific aspects; and
(v) the establishment of an adaptive and agile vehicle validation based on self-diagnostics and data logging to steadily extend the list of relevant scenarios and test cases.
The outputs of the TrustVehicle project will be extensively assessed in real-world operating conditions on four demonstrators representing four vehicle classes. End users of the technology will systematically and thoroughly express their requirements, expectations, and concerns during the consortium activity. Special focus will be put on the demonstration of the fault-tolerant and fail-operational system behaviour at any time and for different kinds of weather conditions.
Statens väg- & transportforskningsinstitut VTI
Start date: 05/2017
Duration: 30 months
Budget (€): 3 Mio.
Deutsches Zentrum für Luft – und Raumfahrt e.V. (DLR)
Institute of Transportation Systems
Start date: 06/2017
Duration: 30 months
Budget (€): 5.5 Mio.
Virtual Vehicle Research Center
Start date: 06/2017
Duration: 30 months
Budget (€): 5 Mio.