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We present a new approach to regulating traffic related pollution in urban environments by utilising hybrid vehicles. We give a number of different strategies and some variants of how to achieve this. The efficacy of our approach is exemplified both by the construction of a proof of concept vehicle and by extensive simulations.

Finding a way to improve traffic efficiency is a high-frequented problem to be solved. One new promising approach is the use of decentralized wireless vehicle to vehicle communication based on the Vehicle-2-X (V2X) technology. The underlying idea is that vehicles share information about their current local traffic situation and use this information to optimize their routes. In this paper, we introduce a new algorithm that can be used by navigation systems to calculate routes circumnavigating congested roads. To evaluate the improvements that can be achieved by our algorithm, simulations have been carried out which show that navigation systems using the V2X technology for a more intelligent route calculation can improve the traffic efficiency of future transport systems. For the simulation of all aspects of V2X Communication scenarios, different simulators have to be combined and an interaction among them at runtime of the simulation has to be enabled. Hence, we have developed the V2X Simulation Runtime Infrastructure (VSimRTI) which couples discrete eventbased simulators, e.g. for communication network, traffic, and V2X application simulation. The flexibility of VSimRTI allows us to vary the composition of integrated simulators depending on the specific requirements of a scenario.

The convergence of embedded systems and wireless communication enables interconnection of electronic devices to render control and provide information to the user: Offices, apartments, and public spaces are or in nearfuture will be able to deliver information and services to their occupants ranging from instant Internet access to confrguration and control in a context dependent, personalized way.Despite progressing internemorking and sophistication, we are still dealing with islands of functionality rather than the invisible computer envisioned by Mark Weise,: We believe that the spread and acceptance of smart environments will depend on common standards as well as a simple and jexible way to access data and devices and compose services from existing ones. A good example of such a system is the World Wide Web, whose success is mainly due to the simplicity with which all kinds of content can be published and referenced.We present an access protocol to bring the Web's simplicity and holistic view on data and services to pervasive systems. Our approach is based on the Representational State Transfer architectural style and emphasizes abstraction of data and services as resources, interoperation via self describing data and service orchestration with loosely typed components. A particular concern is to pmvide for functionality in the absence of proxy nodes or infrastructure services like directory servers.

Advanced Driver Assistance Systems (ADAS) were strong innovation drivers in recent years, towards the enhancement of traffic safety and efficiency. Today’s ADAS adopt an autonomous approach with all instrumentation and intelligence on board of one vehicle. However, to further enhance their benefit, ADAS need to cooperate in the future, using communication technologies. The resulting combination of vehicle automation and cooperation, for instance, enables solving hazardous situations by a coordinated safety intervention on multiple vehicles at the same point in time. Since the complexity of such cooperative ADAS grows with each vehicle involved, very large parameter spaces need to be regarded during their development, which necessitate novel development approaches. In this paper, we present an environment for rapidly prototyping cooperative ADAS based on vehicle simulation. Its underlying approach is either to bring ideas for cooperative ADAS through the prototyping stage towards plausible candidates for further development or to discard them as quickly as possible. This is enabled by an iterative process of refining and assessment. We reconcile the aspects of automation and cooperation in simulation by a tradeoff between precision and scalability. Reducing precise mapping of vehicle dynamics below the limits of driving dynamics enables simulating multiple vehicles at the same time. In order to validate this precision, we also present a method to validate the vehicle dynamics in simulation against real world vehicles.