Modelling and Analysing the Cargo Screening Process

目前的货物筛选系统是次优的，因为它们是基于历史布局的，例如，行李将通过固定的分层系统：首先，所有的行李将通过探测器A，如果它没有通过，那么它将通过探测器B，如果它再次通过探测器c。此外，我们不了解当前系统的性能，因为没有基线性能数据可用，即不清楚当前系统是否比随机系统表现更好。因此，即使提出了改进措施，也很难衡量其影响（如果有的话）。我们建议设计一个即插即用的软件工具（货物筛选系统模拟器），将正确的技术映射到正确的商品/威胁组合，从而*识别当前传感器系统设置中的差距/我们需要什么新技术？*允许对新的传感器技术进行适当的评估/是否物有所值？*优化给定资源/获得最高吞吐量/检测固定资源。此外，由于该项目对整个系统感兴趣，并允许对新技术进行评估，因此它是所有其他沙坑项目的启用项目。我们将能够评估在特定场景中提出的新传感器技术，以确定实际的成本/收益。为了实现这一目标，我们建议在项目旁边运行一个跟踪网络。

Current cargo screening systems are sub-optimal because they are based on historic layouts, for instance luggage will go through fixed tiered systems: First all luggage will go through detector A, if it fails to pass, then it will go through detector B and if it fails again through detector C. Moreover, we do not understand the performance of current systems as no baseline performance data is available, i.e. it is unclear whether current systems perform better than random or not. Thus even if an improvement was proposed, it would be difficult to measure its impact if any.We are proposing to design a plug and play software tool (cargo screening system simulator) that will map the right technology to the right commodity / threat combination and thus* Identify gaps in a current sensor system set-up / what new technology do we need?* Allow for proper evaluation of new sensor technology / is it value for money?* Optimise given resources / get highest throughput / detection for fixed resources.Additionally, as the project is interested in the whole system and allows for the evaluation of new technologies, it is an enabling project for all other sandpit projects. We will be able to evaluate new sensor technologies proposed in specific scenarios to establish practical cost / benefits. To achieve this, we propose to run a follow on network alongside the project.