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Realistic map data is the basis for meaningful simulation studies of Inter-Vehicle Communication (IVC) applications and protocols [1]. Synthetic scenarios such as isolated intersections or a perfectly laid-out grid do not feature the typical mix of low and high traffic density roads and can therefore not be used as a representative scenario for (sub)urban traffic [2].
Many reasons lead to embedded systems getting more complex than ever. The higher integration and interconnection and the additional effort spend for safety-critical functions, require new techniques to support the testing process. Beneath using model-driven test techniques, test engineers need support to take the right decisions on test case selection and prioritization during the whole development...
Decentralized and self-organizing mechanisms present promising approaches to deal with the massive amount of data generated by different components in the smart grid. In this work we present a self-organized approach that is able to take decisions locally and in a distributed way. Our approach distinguishes between an infrastructure level and a decision level. The middleware processes running on the...
Increasing functionality and complexity of current automotive ECUs raise demands on development and testing its software. The more software components being included, the more effort on integration these components into one ECU has to be spend. Additionally, new standards like the ISO/DIS 26262 raise the requirements of testing safety critical components like an airbag-ECU due to functional safety...
We discuss the need for taking the environmental impact as a primary metric for evaluating the quality of algorithms for Intelligent Transportation Systems (ITS). In many studies, the travel time, or its minimization, has been used to demonstrate the advantages of Inter-Vehicle Communication (IVC) solutions combined with dynamic rerouting. Such evaluations are frequently based on simulation experiments...
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