*** ACCESS! 2 ***

ACCESS!2 Areas Copyright: © © ACCESS!2

In order to meet the increasing pressure for implementation and action in the transport and mobility sector, ACCESS! is evolving into a design- and implementation-oriented approach. Transformation paths are being developed at three implementation levels: service-oriented technology paths - municipal mobility concepts - regional mobility system.



Project ACCorD Copyright: © ACCorD

Automated and connected driving offers great potential for increasing road safety and efficiency as well as social participation. However, the development of automated and connected vehicles poses immense challenges for all stakeholders. As a technologically complex system consisting of traffic, communication and IT infrastructure as well as automated and connected vehicles, fault-free functioning must always be ensured in real traffic in interaction with other road users.



Research project EULE Copyright: © RWTH

Within the project, a safe transport of medical goods by highly automated unmanned aerial vehicles is to be realized. The integration of the UAS into the airspace requires the integration of different data sources as well as a dedicated 5G-networked data management. Secure data handling in the course of automated integration of the transports into the infrastructure of hospitals and laboratories also represents an innovative research aspect.



Overview project FALKE Copyright: © UKA RWTH

In the event of a Mass Casualty Incident (MCI), such as a railroad accident or far-reaching natural disasters, often more medical resources are required than are immediately available on site. Before patients can be treated and transported to the hospital, they are divided into categories according to the severity of their injuries. Due to a lack of routine as well as high stress and emotional strain, the so-called triage is a high challenge for the emergency services. Technical systems can support the emergency physicians in their work to ensure an optimal patient care process.



Containership Copyright: © R. Zweigel / RWTH Aachen

Current challenges in inland shipping, such as the shortage of personnel and the enormous cost pressure caused by freight transport by road, require future-oriented approaches to solutions. One promising approach is the remote control of ships using state-of-the-art sensors and technology as well as sophisticated assistance systems. In this way, several ships can be controlled safely and, above all, centrally at the same time. In the subproject of RWTH Aachen University, the focus is on robust navigation and interactive trajectory planning to increase the degree of automation and relieve the burden on the shipmaster within the framework of the "FernBin" project.


GALILEOnautic 2

Large ferry with two small car ferries Copyright: © Michael Gluch

In order to cope with the already high and steadily growing maritime traffic volume as well as increasing ship sizes and, above all, to guarantee a safe traffic flow, state-of-the-art technology, an increase in automation levels and cooperative action between all maritime participants are required.



Measuring station and car simmulation Copyright: © ika RWTH

The aim is to record traffic events at various relevant points with high precision and to collect data as a basis for developing and safeguarding current and future sensor technologies and automated driving functions. The recorded data will be stored centrally on a data server and made available to selected research institutions and partners. They will thus also serve as a basis for the research fields of big data and machine learning in the vehicle sector. In addition, the module will serve as a basis for the location-independent testing of intelligent transportation systems (ITS) in real traffic.



Project InductInfra Copyright: © ISAC

The drive technology of road vehicles is currently based almost exclusively on fossil fuels. Due to the exceeding of limits for maximum particulate matter and nitrogen oxide pollution by combustion engines, the electrification of individual and commercial transport is being driven forward. In particular, the development of alternative drive strategies in the long-distance transport sector is still in its initial phase. Key problem areas include the lack of range, battery size and weight, and the patchy charging infrastructure on federal highways.



KI-LaSt Logo Copyright: © ika RWTH

One of the most important global goals is to significantly slow down or even stop global warming by reducing greenhouse gas emissions. In the automotive industry, the subject of "lightweight construction" plays a central role in significantly improving the carbon footprint of motor vehicles. A solution to this challenge is being investigated as part of the new BMWi-funded project KI-LaSt. The idea is to support the design process for ultra-light, additive manufactured lightweight crash-relevant vehicle components using artificial intelligence (AI).



Artificicial Intelligence -AI

In the vehicle development process, requirements form the basis for functions, principles of operations and solutions, right up to the manufacturing and testing concepts of the later product. The efficiency in the subsequent steps of the development process is decisively determined by the quality (unambiguousness, completeness, freedom from redundancy) of the requirements.



Vehicles in the city Copyright: © SULEICA

In recent years, the volume of logistics has risen sharply due to increasing urbanization and changes in the retail sector, and with it the challenge for logistics providers and infrastructure.
The SULEICA research project pursues the goal of researching automated, networked, electric light vehicles - so-called "Ducktrains" - for smart urban city center logistics in Aachen.



UNICARagil fleet Copyright: © Patrick Pintscher

As part of the BMBF-funded UNICARagil project, Germany's leading universities in the field of automated driving have joined forces with selected specialists from industry to rethink automated vehicles and their architecture. In the project, disruptive modular architectures consisting of hardware and software components for driverless vehicle concepts will be developed, based on the latest results of research into automated and connected driving and electromobility.