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RHINOS

RHINOS - Railway High Integrity Navigation Overlay System will define a GNSS-based system to support the localization of trains respecting the challenging requirements of the railway safety standards.

Total Cost €

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EC-Contrib. €

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Partnership

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Project "RHINOS" data sheet

The following table provides information about the project.

Coordinator
CONSORZIO UNIVERSITA INDUSTRIA - LABORATORI DI RADIOCOMUNICAZION I 

Organization address
address: CORSO D ITALIA 19
city: ROMA
postcode: 198
website: www.radiolabs.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website http://www.rhinos-h2020.org
 Total cost 1˙676˙490 €
 EC max contribution 1˙523˙024 € (91%)
 Programme 1. H2020-EU.2.1.6. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space)
 Code Call H2020-Galileo-2015-1
 Funding Scheme IA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2017-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CONSORZIO UNIVERSITA INDUSTRIA - LABORATORI DI RADIOCOMUNICAZION I IT (ROMA) coordinator 640˙000.00
2    UNIVERZITA PARDUBICE CZ (PARDUBICE) participant 200˙000.00
3    HITACHI RAIL STS SPA IT (GENOVA) participant 190˙001.00
4    DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV DE (KOELN) participant 174˙948.00
5    SOGEI-SOCIETA GENERALE D'INFORMATICA SPA IT (ROMA) participant 168˙078.00
6    THE UNIVERSITY OF NOTTINGHAM UK (NOTTINGHAM) participant 149˙997.00
7    BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY US (STANFORD) participant 0.00

Map

 Project objective

RHINOS aims at increasing the use of EGNSS to support the safety-critical train localization function for train control in emerging regional and global markets. RHINOS adds value to EGNSS by leveraging the results from prior or existing projects, and develops a Railway High Integrity Navigation Overlay System to be used by the rail community. RHINOS pillar is the GNSS infrastructure realized for the aviation application with additional layers that meet the rail requirements in the difficult railway environments. RHINOS will feature an international cooperation with the Stanford University that has been involved in the aviation application since the birth of the GPS, gaining an undeniable 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, to favor a global solution to release the potential benefits of the EGNSS in the fast growing train signaling world market. 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 (GALILEO and EGNOS) plus GPS and WAAS constitute the reference infrastructure that is available world-wide. Moreover, 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 dominate the rail application. A further objective of RHINOS is to contribute to the definition of a standard for the Railway High Integrity Navigation Overlay System leveraging on the EU-US Cooperation Agreement on ARAIM. The RHINOS dissemination plan includes three specific Workshops with the rail and satellite stakeholders, at Stanford University for the US community, in Roma for the Western European community and in Prague for the Eastern European community.

 Deliverables

List of deliverables.
RHINOS website Websites, patent fillings, videos etc. 2019-05-30 13:58:49

Take a look to the deliverables list in detail:  detailed list of RHINOS deliverables.

 Publications

year authors and title journal last update
List of publications.
2016 P. Enge (Stanford University, USA).
\"\"\"Railway High Integrity Navigation Overlay System\"\"\"
published pages: , ISSN: , DOI:
INTERNATIONAL SUMMER SCHOOL ON GNSS 2016 2019-06-18
2017 Filip, A.
Efficient use of multi-constellation EGNOS for the European Train Control System
published pages: , ISSN: , DOI:
ENC GNSS 2016 2019-06-18
2016 Alessandro Neri, Salvatore Sabina, Roberto Capua, Pietro Salvatori
Track constrained RTK for railway applications
published pages: 2123 - 2135, ISSN: , DOI:
Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016) 2019-06-18
2017 S.J. Roberts, L. K. Bonenberg, X. Meng, T. Moore, C.J. Hill
Predictive Intelligence for a Rail Traffic Management System
published pages: 2117-2125, ISSN: , DOI:
Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, Oregon, September 2017, 2019-06-18
2017 S. Lo, S. Pullen, J. Blanch, Per K. Enge, Alessandro Neri, V. Palma, M. Salvitti, C. Stallo,
Projected Performance of a Baseline High Integrity GNSS Railway Architecture under Nominal and Faulted Conditions
published pages: , ISSN: , DOI:
Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), 2019-06-18
2017 Sherman Lo
Robust and Trusted Navigation for Transportation
published pages: , ISSN: , DOI:
8th Chinese Satellite Navigation Conference (CSNC 2017) 2019-06-18
2017 Filip, A.
Travelling Virtual Balise for ETCS14. Filip, A.
published pages: , ISSN: 2058-8313, DOI:
Int. J. Transp. Dev. Integr., Vol. 1, No. 3 (2017 2019-06-18
2016 Alessandro Neri, Veronica Palma, Francesco Rispoli, Sam Pullen, Shiwen Zhang, Sherman Lo, Per Enge
A Method for Multipath Detection and Mitigation in Railway Control Applications
published pages: 1843 - 1855, ISSN: , DOI:
Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016) 2019-06-18

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