Railway High Integrity Navigation Overlay System

The RHINOS work programme includes the investigation of candidate concepts for the provision of the high integrity needed to protect the detected position of the train, as required by the train control system application. The EGNSS (GPS and GALILEO) plus the SBAS constitute the reference infrastructure that is available worldwide. In addition to that, local augmentation elements, ARAIM techniques and other sensors on the train are the add-on specific assets for mitigating the hazards due to the environmental effects which dominates the rail application.
RHINOS will be developed through an international cooperation with the Stanford University researchers that have been involved in the aviation application since the birth of the GPS. They have indisputable knowledge of the GNSS performance and high-integrity applications. The ambition is a positive step beyond the proliferation of GNSS platforms, mainly tailored for regional applications, in favour of a global solution. RHINOS would release the potential benefits of the EGNSS in the fast growing train signalling market

RHINOS project on “PLATINUM” magazine

Category: News Created: Wednesday, 06 December 2017

“Search & Innovation” section in the “PLATINUM” magazine, in news stand with “Il Sole24Ore” on Monday, November 27th published an interview  on the H2020 RHINOS project.

Workshop at ION GNSS+ 2017 in Portland, USA

Category: News Created: Friday, 10 November 2017

A one day RHINOS Dissemination Workshop has been held in Portland, within the framework of the annual event ION GNSS+ (25-29 September 2017). The workshop was opened by the presentation of Francesco Rispoli on the overview of the main objectives of the RHINOS and sinergy with other ongoing initiatives in the railway domain. that Some presentations on PoC results have been carried out by Omar Garcia Crespillo from DLR, Sam Pullen from Stanford University and Roberto Capua from SOGEI. Then, Prof. Per Enge showed the roadmap for GPS/Galileo Railway Services and possible sinergy with ARAIM Working Group C. Then, he presented the possible Function B able to comparing accelerations from accelerometer to GNSS Doppler Rate. Fiammetta Diani from GSA underlined the importance to trace a rodmap for or GPS/Galileo Railway Services. Finally, Ales Philip from UPA showed the comparison of GNSS-based train position determination safety concepts for ERTMS/ETCS.
Then, an opened discussion among the members of RHINOS project participants was carried out to identify other possible future collaborations and how they can form a restricted group to give indication/support the activities of ARAIM Working Group C under the direction of the Prof. Per K. Enge.

Workshop Agenda

ION GNSS+ 2017 Portland, Oregon USA

Category: News Created: Friday, 10 November 2017

Projected Performance of a Baseline High Integrity GNSS Railway Architecture under Nominal and Faulted Conditions 

This work, born thanks to the collaboration of RadioLabs and University of Stanford, describes a reference RHINOS architecture and examines its performance under nominal and faulted conditions. The performance analysis is conducted through simulation using the Matlab Algorithm Availability Simulation Tool (MAAST). MAAST, which was developed for aviation integrity analyses, was modified to support Protection Level (PL) calculations based on a proposed RHINOS reference architecture. It calculates PLs at representative locations throughout Europe for both nominal and faulted cases. The nominal case assumes that all GNSS range measurements are bounded by fault free error models. Error models derived from accepted Satellite Based Augmentation System (SBAS) and Ground Based Augmentation System (GBAS) models are used. The main exception is multipath, which is known to be more severe for trains than for aircraft. The fault cases examined are those where either ionosphere gradients, satellite (ephemeris or clock) errors, or multipath exceed the nominal models. The integrity monitoring should detect and exclude the fault, if it is sufficiently large or not detected it, in which case it will bound its effect. Finally, sensitivity analysis is conducted to provide insights for designing the system. Different multipath assumptions are tested and different levels of mitigation are examined what level of mitigation and monitoring should be targeted.

Paper ION-GNSS+ 2017.pdf


This project has received funding from the European GNSS Agency under the European Union’s Horizon 2020 research and innovation programme under grant agreement No.687399