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

实时地理空间数字孪生管理火车站人流

• 批准号: 97980
• 金额: $ 9.51万
• 依托单位: OPENSPACE GROUP LIMITED
• 依托单位国家: 英国
• 项目类别: Small Business Research Initiative
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=97980
• 关键词: Real; time; geospatial; digital; twin

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.

这一创新项目利用各种地理空间铁路数据的力量，为圣潘克拉斯国际车站建立一个预测车站和人群管理工具。在OpenSpace现有的首个同类空间站数字孪生的基础上，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，以增强当前的孪生。该项目更大的目标是将孤立的车站数字孪生概念扩展到多个车站，并朝着形成网络数字孪生的方向发展。这个项目真的很有潜力给我们管理车站的方式以及连接车站的网络对这方面的影响带来一个转变。目前，圣潘克拉斯车站正在积极使用这一系统，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乘客的体验。