ARGOS - Automated Rail Geospatial Observation System

乘客和货运客户安全到达目的地的需求是铁路运营商业务的核心。铁路轨道几何故障很难识别，作为基于风险的运营模型的一部分，引入了一个在识别出这些故障时实施速度限制的过程，以保持可接受的安全水平。泰雷兹的目标是开发技术，部署基于地理空间的识别工具，能够及早识别轨道几何风险，并帮助管理响应，以最大限度地减少服务中断。该解决方案将使用泰雷兹鲁棒列车定位系统收集的运行中列车数据，以检测潜在的轨道状况进行分析。在SBRI地理空间挑战赛的第一阶段，泰雷兹将与合作伙伴GWR一起收集数据，并分析解决方案的可行性。

Public descriptionThe needs of the passenger and freight customers to reach their destination safely are core to rail operator businesses. Railway track geometry faults are hard to identify and as part of a risk-based operation model, a process for the implementation of speed restrictions when these are identified is introduced to maintain an acceptable safety level. In doing so train services are affected and network capacity is reduced.Thales aims to develop the technology to deploy a geospatially based identification tool, capable of identifying track geometry risks early on and help manage response to minimise disruption to services. The solution will use in-service train data collected with Thales' Robust Train Positioning System, to detect underlying track conditions for analysis. During Phase 1 of the SBRI Geospatial Challenge, Thales will collect data with its partner GWR and analyse the feasibility of the solution.