The GridPP Collaboration is building a UK computing Grid for particle physics, as part of the international effort towards computing for the Large Hadron Collider. The project, funded by the UK Particle Physics and Astronomy Research Council (PPARC), began in September 2001 and completed its first phase 3 years later. GridPP is a collaboration of approximately 100 researchers in 19 UK university particle physics groups, the Council for the Central Laboratory of the Research Councils and CERN, reflecting the strategic importance of the project. In collaboration with other European and US efforts, the first phase of the project demonstrated the feasibility of developing, deploying and operating a Grid-based computing system to meet the UK needs of the Large Hadron Collider experiments. This note describes the work undertaken to achieve this goal. S Supplementary documentation is available from stacks.iop.org/JPhysG/32/N1. References to sections S1, S2.1, etc are to sections within this online supplement.

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In the near future vehicles will be connected and able to communicate with their environment. Such technologiescommonly called Cooperative Intelligent Transportation Systems (C-ITS) -aim at improving road safety, traffic efficiency and drivers comfort. To this end the C-ITS community has proposed many different use cases. In this paper, we start by making an inventory of C-ITS use cases. We then extend this list by proposing new use cases mostly related to security and privacy aspects. Finally we propose a classification methodology based on K-means algorithm to classify the use cases according to criteria we defined. We apply the proposed methodology on our use cases list using security and technical criteria. The obtained results enable to extract a subset of representative use cases from the initial list. Such subset can then be used to apply any process/method (e.g. risk analysis) on it.

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