We consider the recognition of dangerous situations in vehicle traffic. Unscented Kalman filters are used to predict vehicle trajectories within a short prediction horizon [t(0), t(0) + Delta t]. Based on this prediction, for each vehicle pair the mutual distance is computed for [t(0), t(0) + Delta t], whereby the distance accounts for the geometric distance, for the prediction uncertainties as well as for the spatial dimensions of the vehicles. If at least one of the mutual distances falls below a distance threshold epsilon within [t(0), t(0) + Delta t], then a dangerous situation arises for the cooperative group and may lead to an autonomous cooperative driving manoeuvre. This approach allows the usage of the system in a mixed environment (only some vehicles are cooperative and cognitive). Obstacles can also be handled. The key issues in this ongoing research work are the recognition and classification of dangerous situations and the formation of a cooperative group constituting an operational unit. A common relevant picture within a group coordinator fuses the necessary information from all cooperative vehicles of the group and forms the basis for situation recognition and classification. This paper is a step to expand a Cooperative Collision Warning System (CCWS) to an integrated Cooperative Collision Avoidance and Cooperative Collision Mitigation System (CCAMS)

The emerging Industrial Internet of Things (IIoT) will not only leverage new and potentially disruptive business models but will also change the way software applications will be analyzed and designed. Agility is a need in a systematic service engineering as well as a co-design of requirements and architectural artefacts. Functional and non-functional requirements of IT users (in smart manufacturing mostly from the disciplines of mechanical engineering and electrical engineering) need to be mapped to the capabilities and interaction patterns of emerging IIoT service platforms, not to forget the corresponding information models. The capabilities of such platforms are usually described, structured, and formalized by software architects and software engineers. However, their technical descriptions are far away from the thinking and the thematic terms of end-users. This complicates the transition from requirements analysis to system design, and hence the re-use of existing and the design of future platform capabilities. Current software engineering methodologies do not systematically cover these interlinked and two-sided aspects. The article describes in a comprehensive manner how to close this gap with the help of a service-oriented analysis and design methodology entitled SERVUS (also mentioned in ISO 19119 Annex D) and a corresponding Web-based Platform Engineering Information System (PEIS).

An ISMO as designed in this paper could support competent authorities in both the GMO notification process and in post-market monitoring. This includes evaluating the environmental risks of experimentally releasing GMO and placing them on the market, assessing monitoring plans and evaluating monitoring results. The ISMO should be implemented on both the national and international level, preferably combining different administrative scales. Harmonisation approaches towards GMO monitoring data are at an initial stage, but they are a precondition to coordinated GMO monitoring and to successfully implementing an ISMO. It is recommended to set up a legal basis and to agree on common strategies for the data coordination and harmonisation.

Environmental Information Systems (EIS) allow the user to store, query and process environmental information and visualize it in thematic maps, diagrams and reports. Although service-orientation is the predominant architectural style of EIS there is no design methodology that brings together the requirements and the expert knowledge of EIS users with the services and information offerings of existing EIS, and, in addition, explicitly obeys the guidelines and constraints of geospatial standards of the Open Geospatial Consortium (OGC) as side-conditions. This paper focuses on the analysis phase as a prelude to service-oriented design. It proposes a way of gathering, describing and documenting user requirements in terms of extended use cases which may then be used to perform the abstract design step following SERVUS which denotes a Design Methodology for Information Systems based upon Geospatial Service-oriented Architectures and the Modelling of Use Cases and Capabilities as Resources.

Abstract-A cognitive automobile is a complex system. It is an indisputable fact that simulations are valuable tools for the development and testing of such complex systems. This paper presents an integrated closed-loop simulation framework which supports the development of a cognitive automobile. The framework aims at simulating complex traffic scenes in inner-city environments. The key features of the simulation are the generation of synthetic data for high level inference mechanisms, providing data for the analysis of car-to-car communication strategies and evaluation of cooperative vehicle behavior.