In KoMoD, 16 partners cooperate in the implementation and operation of the test field. In addition to the participating responsible public authorities, partners from the fields of telecommunications and traffic engineering, as well as automobile manufacturers, system supplier and research institutes are involved.
The Federal Ministry of Transport and Digital Infrastructure on the basis of a resolution of the German Bundestag
The state capital Düsseldorf offers the project excellent conditions for a test field. It can contribute its knowledge of traffic and operational processes acquired in practice and in numerous other research projects (e.g. Dmotion, UR:BAN).
In the future automated driving will pose new challenges for local urban authorities. On the part of the on-board applications for autonomous driving, there will be extended requirements for data availability and latency. From the point of view of traffic management, there will be new requirements regarding the control of autonomous vehicles and the management of mixed traffic.
With the results of the KoMoD research project, the state capital Düsseldorf is gaining extensive knowledge about the requirements for functional add-ons to the traffic system management center for autonomous driving.
The strategic objective of ave Verkehrs- und Informationstechnik GmbH in the Düsseldorf test field is the development of a reliable incident and traffic condition assessment in road tunnels for the mixed traffic fleets expected in the future, consisting of conventional and autonomous vehicles.
The development of an incident / traffic monitoring and analysis procedure optimized for the safety-critical infrastructure „road tunnels“ is to enable and support autonomous driving in these areas and at the same time further increase traffic safety and traffic quality for all vehicles.
Based initially on an application for local mixed traffic fleets, the selected approach will allow the system to be adapted in further research steps for application to purely autonomous traffic.
The Deutsche Zentrum für Luft- und Raumfahrt (DLR) is Germany’s largest aerospace research center. At the DLR Institute of Traffic Systems Technology, some 170 employees develop pioneering solutions for innovative mobility and automated vehicles.
The Institute’s research vehicles use innovative data fusion and communication technologies to increase the amount of information in the vehicle to such an extent that automatic driving is possible even in complex urban environments.
In the digital test field in Düsseldorf, the DLR vehicle FASCarE uses not only its own on-board sensors but also a hybrid communication platform developed in-house, which uses short-term information and strategic planning data from the test field for automated driving maneuvers. The data includes traffic light information (current signal status, next signal stage change), high-precision digital maps and variable message sign information, which is processed in real time by the on-board automation system.
The FHP evaluates automated driving functions and driving maneuvers from the point of view of traffic efficiency, traffic safety and the effects on the environment. The vehicle data collected in the test field will be integrated into a simulation environment in combination with the target functions of the automated vehicles. This simulation environment will not only consider the route sections of the test field but also other parts of the urban network in Düsseldorf. This extended evaluation of the vehicle functions can contribute to the transferability of the test results to various urban situations. For the analyses, driver-vehicle models representing the behavior of the vehicle applications of the test field are implemented and linked to a commercial traffic simulation tool. This approach allows the transferability of implementation scenarios to other cities, including the comparison with traffic engineering guidelines
Ford-Werke GmbH is a German automotive company based in Cologne. The company employs more than 24,000 people at its Cologne and Saarlouis locations. Since the company was founded in 1925, more than 40 million vehicles have been produced.
Ford is involved in the Düsseldorf test field as an associated partner. As a vehicle manufacturer in the immediate vicinity of the state capital, Ford makes various contributions to connected mobility. By connecting via mobile communication, several use cases are being tested, such as the extended emergency call assistant E-Call Plus and the emergency corridor assistance. Direct connection is being used to test traffic light and tunnel assistance. The results from KoMoD will be used for further research on topics of automated and autonomous driving.
GEVAS software pursues two goals in the KoMoD project:
On the one hand, the GEVAS traffic management software VTmanager, which has been controlling the traffic in the traffic system management center in Düsseldorf for years, will be extended in such a way that it can be used as a central platform for highly automated driving in municipalities.
On the other hand, GEVAS software wants to test its green wave application trafficpilot in the real urban environment of the state capital over a longer period of time. trafficpilot is a smartphone app which visually and acoustically signals cyclists and car drivers at what speed they can pass the next traffic light without stopping.
Heusch/Boesefeldt develops technical innovations in the KoMoD project as subcontractor of Straßen.NRW and the state capital Düsseldorf.
Heusch/Boesefeldt is dedicated to the digitization of the infrastructure of the traffic management centers. In the test field Düsseldorf solutions are developed which do not require any extensions of the roadside actuators. For example, the control of the A57 traffic control system is enhanced to a virtual ATMS so that the information and traffic regulations are provided to the vehicles in digital form. Route recommendations are sent to the vehicles in digitalized form by the NRW traffic management center and are integrated into optimized and coordinated routing for the respective vehicle.
Furthermore, Heusch/Boesefeldt was commissioned by the consortium with the project management and the management of the project office.
Mobileye, an Intel company, is a global leader in the development of computer vision and machine learning, localization and mapping, and advanced driver assistance systems (FAS) and autonomous driving.
Their systems are integrated in hundreds of new vehicle models of the world’s largest car manufacturers.
Mobileye accident prevention systems for retrofitting
Mobileye’s retrofittable accident avoidance systems reduce the risk of collisions through real-time visual and audible warnings and can be installed in almost any vehicle. The system is available with a single forward facing smart camera or as a multi-smart camera system designed specifically for heavy-duty vehicles whose blind spots pose a potential risk to pedestrians and cyclists.
The data permits:
- an efficient design of a mixed operation of automated and conventional vehicles
- communication of danger warnings
- geo-referencing of danger spots
- hazard warnings and collision avoidance for the driver
The Rheinbahn is the local transport company of the North Rhine-Westphalian state capital Düsseldorf. It also provides local transport services for the Düsseldorf district as well as for the Rhine District of Neuss and operates to a further six municipalities in the surrounding area. With around 3,340 stops, it is the largest transport company in the Rhine-Ruhr Transport Association and stands for flexibility and climate-friendly mobility.
With a total of 735 vehicles on 132 lines, around 740,000 people travel to their destinations on the Rheinbahn every working day. It thus makes an active contribution to climate and environmental protection. In particular, the retrofitting and early renewal of the bus fleet as well as intelligent technology for accelerating bus and rail services are important contributions to better air quality and a cleaner future.
The Institute for Automotive Engineering (ika) of RWTH Aachen University pursues a holistic approach in the development of connected driving functions from the idea to real traffic using a continuous tool chain. This includes testing of function prototypes in a controlled field to ensure a safe function.
This component is already being implemented as part of the CERM and CERMcity projects on the ATC site in Aldenhoven. In the next step, the digital test field Düsseldorf offers an ideal complement for testing and evaluating functions which have been proven safe in tests on the test track.
Due to the intended compatibility between the communication technologies used at the CERM test site and the technologies used at the Düsseldorf test site, new types of connected driving functions should be able to be used both on the test track and in the digital test field.
The crossroads as a safety-critical network element requires the processing of vehicle and infrastructure information in milliseconds. The Siemens Road Side Units at four crossroads and the associated cooperative center enable the implementation of critical C2X applications. One such application is the prediction of traffic light states. Pilot vehicles receive locally determined and central green and red phase forecasts at four crossroads.
Cooperative transport also means that public transport is integrated as an important traffic participant. A novelty in the Düsseldorf test field is the testing of a vehicle telematics unit for C2X assistance applications and public transport priority with 16 vehicles of the Rheinbahn. In addition, the test field is testing a public transport priority based on satellite positioning by means of a central management unit, which uses a self-sufficient positioning and communication unit in the same 16 vehicles of the Rheinbahn.
Straßen.NRW is responsible for the motorway sections of the A57 and A52 between the Meerbusch, Kaarst and Heerdter Dreieck junctions in the KoMoD test field. The area is equipped with VMS and display panels for active traffic management and network control. Within the scope of the project, the sign contents are digitally mapped and published by the traffic management center via the mobility data marketplace (MDM) in the standardized DATEX II format. In this way, a manufacturer-independent usability of the data is also guaranteed outside the project consortium.
Road side units (RSU), which communicate via p-WLAN (ETSI G5), offer a further option for exchanging dynamic information between infrastructure and vehicles. Conceptual work on the technical equipment and the integration of vehicle messages into traffic control are further focal points of the project.
SWARCO offers the complete range of products, systems, services and solutions for traffic safety and intelligent traffic management. With five decades of experience, the Group supports society’s growing need for mobility with systems and complete solutions for road marking, urban and interurban traffic management, parking, public transport and LED street lighting. Cooperative systems, vehicle-to-infrastructure communication, electro-mobility and integrated software solutions for the Smart City are forward-looking business areas.
3,700 employees in more than 70 companies of the group serve customers in 70 countries and generate a turnover of more than 675 million euros. SWARCO’s guiding principle: We improve the quality of life by making travel safer, faster, more comfortable and environmentally friendly.
In the Düsseldorf test field, both the traffic light phase prediction system and the Personal Freeway Assistant are to be subjected to initial permanent testing. From these, far-reaching conclusions are to be drawn regarding the vehicle-related challenges and requirements for the introduction of a data service for automated driving.
The first development of an N-HAV service layer should also be mentioned in this context. This is intended, on the one hand, to merge the infrastructure content with the vehicle-generated content, so that a maximum of highly up-to-date geocoded information can be provided for the autonomous vehicle and, on the other hand, to enable the on-board systems to control according to the traffic situation.
Vodafone Deutschland is one of the leading integrated telecommunications companies and at the same time the largest TV provider in Germany. With its 14,000 employees, the group provides Internet, mobile telephony, fixed lines and television from a single source. As a gigabit company, Vodafone is leading the way in the expansion of infrastructure in Germany: With ever faster networks, Düsseldorf is paving the way for Germany to become a gigabit society – with regard to the fixed lines and in mobile communications. Vodafone connects people and machines, secures company networks and communications and stores data for companies in the German cloud.
As part of KoMoD, Vodafone is expanding its high-performance mobile phone network in which cars, infrastructure and other road users exchange information with each other. In addition to the Digital Emergency Corridor Assistant and Accident Ahead-Alarm, Vodafone is working with RWTH Aachen University to research the car park of the future, which is equipped with NB-IOT sensors. There, cars will receive information about which parking spaces are free and how to get there (route point information). The vehicle then parks autonomously.
Düsseldorf is one of ZF’s development locations for automated driving functions. Thus, the test field enables efficient further development of cooperative driving functions. With regard to the test field, vehicle communication with the infrastructure offers a supplement to the perception of the environment which, within the scope of automated driving, enables an extended reaction to the current traffic situation.
ZF uses two vehicles which can display partially automated functions with on-board sensors. Within the scope of this project, the systems of these two vehicles are to be extended to enable and test communication with the infrastructure of the test field. The information provided by the infrastructure is to be evaluated against the background of usability and quality for automated driving functions.