EGNSS satellite technology is identified as one of the game-changer technologies of the ERTMS and Command and Control System (CCS) evolutions aiming at saving investments and operational costs. There are still barriers preventing a large adoption of EGNSS. In particular, a larger adoption will require massive data acquisition and processing to achieve the high level of confidence when operating in a complex rail environment with stringent safety requirements.
To contribute in filling this gap, one of the main objectives of RAILGAP is the development of innovative and advanced methodology and related tools for designing accurate and reliable references (i.e. a Ground Truth for position and odometer information such as travelled distance, speed as well as accelerations and heading). The objective is to allow the performance evaluation of a high accuracy and integrity GNSS-based train localisation. Specificities of the proposal are that:
- This innovative Ground Truth process will not require installation of trackside equipment or modifications to existing trackside signalling systems and will rely on the processing of multisensor data collected with commercial trains during their daily rides.
- The Ground Truth will not only contain the static coordinates of some elements of the tracks (e.g. LRBGs) but it will be provided for every run of the train and will also contain dynamic reference parameters. The coordinates will be expressed according to the signaling space reference system, i.e. 1D.
The definition of high integrity and accuracy ground truth and digital trackside map with integrity requirements, thanks to the exploitation of the distinguishing features of EGNOS and Galileo, represents one of the key points for supporting the process of EGNSS uptake into rail signalling and control systems.
Key Objectives
- to make a bold new step, on the roadmap of the H2020 ERSAT GGC project, to implement tools for designing high integrity and accuracy ground truth and digital trackside map whit integrity requirements indispensable for train positioning with EGNSS and other sensors;
- to design and to perform in-field verification of a multisensor EGNSS-based platform by collecting data to be post-processed for high integrity and accuracy ground truth and digital map whith integrity requirements, development;
- to develop and validate error models and innovative FDE (Fault Detection and Exclusion) for EGNSS and other sensors measurements in the railway environment by processing extensive measurement data
- to develop and to perform in field tests on high integrity and high accuracy innovative FDE (Fault Detection and Exclusion) algorithms with multisensor architectures;
- to define procedures for automated collection of in field measurement data with commercial trains;
- exploitation of EGNSS differentiators to fight back against common local hazards of the rail scenarios;
- to contribute to RFI plans to deploy a satellite based ERTMS solution in the frame of their ERTMS national program and to ADIF to support the process of system requirements definition for Spain applications;
- to ensure the knowledge transfer from academia to industry and to infrastructure managers;
- to provide tools for the execution of some phases of the CENELEC system life cycle such as configuration data preparation related to both the trackside and the on-board database and the V&V activities. These phases are essential for supporting the certification process of new EGNSS
