Real time measurement of UK Rail Passengers to enable social distancing during a pandemic

由于新冠肺炎封锁，英国目前正经历严重的混乱，以可控的方式结束封锁对英国的经济未来至关重要。公共交通对于让关键员工上班以及更广泛的英国经济高效运转至关重要。然而，考虑到社会距离的要求，公共交通上的过度拥挤可能会导致新冠肺炎更快的传播，从而导致潜在的第二波疫情或有助于未来的疫情爆发。RazorSecure提供网络安全入侵和异常检测，使用机器学习来实时了解英国列车上的网络。我们提议扩展我们目前收集的数据并产生新的可视化，以提供关于公共交通过度拥挤的实时数据，以便在过境英国交通网络时更主动地管理社会距离。作为一个直接、可操作的项目，警卫将获得一个应用程序，允许他们通知乘客特定车厢不那么拥挤，操作员将有一个实时仪表盘来审查拥挤情况。

The UK is currently experiencing severe disruption due to the Covid-19 lockdown, and ending the lockdown in a controlled way is vital to the UK's economic future. Public transport is critical to getting key workers to their jobs as well as for the wider UK economy to function efficiently.However, given the requirements under social distancing, the overcrowding of people on public transport could lead to faster transmission of Covid-19 leading to a potential second wave or aiding a future outbreak.RazorSecure provides cyber security intrusion and anomaly detection using machine learning to give real time visibility of networks onboard UK trains.We propose to extend the data we currently collect and produce new visualisations to give real time data regarding overcrowding of public transport to allow for more active management of social distancing while transiting the UK transport network. As a direct, actionable item, guards would be given an application that will allow them to inform passengers that a particular carriage is less crowded and operators would have a real-time dashboard to review crowding.