Real-time geospatial digital twin to manage people flow in rail station

公共空间这个创新项目利用各种地理空间铁路数据的力量，为圣潘克拉斯国际站构建预测车站和人群管理工具。在OpenSpace现有的第一个车站数字孪生模型的基础上，该项目将开发一个具有预测人群行为功能的概念验证演示器的大纲，该演示器将增强当前的孪生模型。从孤立站数字孪生概念到多站数字孪生网络的形成。该项目具有很大的潜力，可以使我们对管理站的方式以及连接它们的网络如何影响这一点的看法发生重大变化。St Pancras正在积极使用现有的实施方案，这一新功能将进一步增强车站运营团队主动管理车站的能力，并最终继续改善使用车站和服务的客户体验。

Public descriptionThis innovation project harnesses the power of a diverse range of geospatial rail data to build a predictive station and crowd management tool for St Pancras International Station.Building on OpenSpace's existing first of a kind station digital twin, the project will develop an outline proof of concept demonstrator with predictive crowd behaviour functionality that will augment the current twin.The wider ambition for the project is to expand the isolated station digital twin concept to multiple stations and towards the formation of a network digital twin.The project has really great potential to bring about a step-change in the way we think about managing stations and how the networks that connect them impact on this. The existing implementation is in active use at St Pancras and this new functionality will further enhance the Station Operations Team's ability to proactively manage the station and ultimately continue to improve the customer experience for those using the station and services.