The Rail and Road transportation systems are evolving to progressively introduce automation with the ultimate goal of autonomous driving. The expectations are to improve efficiency and to guarantee higher level of safety. As transport networks will evolve towards high mobility, vehicles will become connected and self-positioned opening new challenges to comply with stringent safety requirements. Although vehicles are increasingly equipped with multiple advanced onboard positioning sensors, GNSS corrections allow to minimize the confidence error and to standardize the on board units. In the ERTMS (European Railways Train Management System) GNSS positioning must comply with the Tolerable Hazard Rate of 10E-9/hour at system level. Similar requirements are targeted by the connected cars when the management of vehicles is performed by a centralized authority as in the ERTMS system. Both ERTMS and Connected Car applications rely on the knowledge of the vehicle’s position with similar integrity levels. Considering also that rail and roads are frequently close to each other’s sharing the same operational environment, a multimodal augmentation network has been designed in the HELMET project to satisfy the new market needs. The aim of this paper is to assess the technical feasibility and the economic sustainability of this multi-modal augmentation network designed for the rail and road applications. The prerequisites are to reuse existing and future EGNSS infrastructures - without creating a direct dependence on themselves - to guarantee the interoperability and to allow a stepped deployment in line with the plans of the rail and road infrastructure managers. The paper includes the results of a recently concluded field test and the requirements of RFI – the Italian railways infrastructure manager who is managing a working group with rail industries to contributing to a standardizable and interoperable GNSS-based ERTMS system. Follow up activities to consolidate results for an operational system are on-going.

Rispoli, F., Vennarini, A., Vizzarri, A., Capua, R., Neri, A., Pullen, S. (2022). On the GNSS augmentation services for the ERTMS train control and Connected Car applications: technical synergies and opportunities. In Proceedings of GNSS+ 2022.

On the GNSS augmentation services for the ERTMS train control and Connected Car applications: technical synergies and opportunities

Alessandro Neri
;
2022

Abstract

The Rail and Road transportation systems are evolving to progressively introduce automation with the ultimate goal of autonomous driving. The expectations are to improve efficiency and to guarantee higher level of safety. As transport networks will evolve towards high mobility, vehicles will become connected and self-positioned opening new challenges to comply with stringent safety requirements. Although vehicles are increasingly equipped with multiple advanced onboard positioning sensors, GNSS corrections allow to minimize the confidence error and to standardize the on board units. In the ERTMS (European Railways Train Management System) GNSS positioning must comply with the Tolerable Hazard Rate of 10E-9/hour at system level. Similar requirements are targeted by the connected cars when the management of vehicles is performed by a centralized authority as in the ERTMS system. Both ERTMS and Connected Car applications rely on the knowledge of the vehicle’s position with similar integrity levels. Considering also that rail and roads are frequently close to each other’s sharing the same operational environment, a multimodal augmentation network has been designed in the HELMET project to satisfy the new market needs. The aim of this paper is to assess the technical feasibility and the economic sustainability of this multi-modal augmentation network designed for the rail and road applications. The prerequisites are to reuse existing and future EGNSS infrastructures - without creating a direct dependence on themselves - to guarantee the interoperability and to allow a stepped deployment in line with the plans of the rail and road infrastructure managers. The paper includes the results of a recently concluded field test and the requirements of RFI – the Italian railways infrastructure manager who is managing a working group with rail industries to contributing to a standardizable and interoperable GNSS-based ERTMS system. Follow up activities to consolidate results for an operational system are on-going.
Rispoli, F., Vennarini, A., Vizzarri, A., Capua, R., Neri, A., Pullen, S. (2022). On the GNSS augmentation services for the ERTMS train control and Connected Car applications: technical synergies and opportunities. In Proceedings of GNSS+ 2022.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/419367
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