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Breakthrough Satellite Technologies for Automated Rail Transport and Driver-less cars applications Francesco Rispoli Imperia, 5 July 2017 1 Rail Transport systems are already higly automated The European challenge: interoperability different


  1. Breakthrough Satellite Technologies for Automated Rail Transport and Driver-less cars applications Francesco Rispoli Imperia, 5 July 2017 1

  2. Rail Transport systems are already higly automated

  3. The European challenge: interoperability different train control systems

  4. To stop the train in emergency 300 km/h 120 km/h 750 m 4500 m 5

  5. ETCS principle of operation Fixed block Moving block

  6. ETCS: European Train Control System 7

  7. ETCS Safety Requirements ETCS target Level of Safety : 2.0E-9/hours x train ~ 1 event each 6 years assuming 10,000 circulating trains P prot. P nom. Braking distance Confidence Interval Track discrimination P prot. 8

  8. ETCS Train Localization RBC position report ETCS trainborne BALISE In ERTMS/ETCS Train location is determined by means of BALISES and • ODOMETRY The Balises are transponders deployed at georeferenced points • The odometer provides the relative positioning w.r.t. the last balise • When the Balise Reader energizes a balise, it receives a message with • the balise Id The on board computer (EVC) sends a POSITION REPORT to the Radio • Block Center

  9. The Virtual Balise Concept GPS RBC position report ETCS Interlocking trainborne Virtual Balise The GNSS based VIRTUAL BALISE READER • generates the same information produced by a Balise Reader detecting a physical Balise, through the same logical and physical interface, then emulating the Balise reader behavior with respect to the train equipment. In this way the On Board ERTMS/ETCS location determination • functions do not need to be changed.

  10. ETCS Odometric function balise Accuracy Accuracy: 5m + 5% travelled distance (SIL 4) CI Error reset D Travelled distance virtual balise 11

  11. VBR Accuracy Requirements Supervised Location Req.: The train shall not trespass the Supervised Location without specific Moving Authority

  12. VBR Accuracy Requirements Brake Activation Location Supervised Location Braking Distance

  13. VBR Accuracy Requirements VB Detection Brake Activation Supervised Location Limitit Location Command, BBrake Distance Control & Signaling Latency (in [km])

  14. VBR Accuracy Requirements VB Brake Activation VB Supervised Location Detection Location Location Limit SIL-4 Command, Braking Distance Train Control & Location Signaling Confidence Latency Interval (in [km]) Req.: To support INTEROPERABILITY Infrastructure Managers require that the same engineering rules are employed to deploy physical and virtual balises, In this way heterogeneous traffic consisting of trains equipped with physical BTM and trains equipped with Virtual BR can be handle by a a Radio Block Center, without modifications.

  15. Additional Requirements Description Delay between receiving of a balise message and applying the required action Start Event The reference mark of the on- board antenna leaving the “side lobe zone” of the last balise in the group (1.3 m from the reference mark of the balise) Stop Event Beginning of applying the required action Value < 1 sec Space 120 Km/h * 1s = 33 m 1.3 m S Start Event ±1 m S Stop Event

  16. Multipath effects Areas as Suitable or Not Suitable for Locating Virtual Balises Estimated Maximum Estimated Maximum OK Nominal Virtual Balise Location VB Location Error VB Location Error KO

  17. GNSS & 5G: the new Technologies breakthroughs

  18. Multi-Constellation GNSS GNSS evolution T. Moore, Nottingam University

  19. GPS Accuracy Basic dGPS: 0.8-3m RTK:1-2cm High Quality dGPS: 20-80cm Standalone GPS: 5-10m T. Moore, Nottingam University

  20. Ref. Qualcomm

  21. Italy on the forefront of innovation in rail

  22. The Italian Rail Network Lines classification related to the traffic development High Speed Network ~ 1000 km (6%) Command Control System : ERTMS/ETCS L2 Train spacing with radio block Metropolitan Traffic Lines ~ 950 km (5%) Command Control System : CTC, SCC, SCC-M Train spacing with short block sections (High Capacity) Fast Lines ~ 2.900 km (18%) Command Control System : CTC, SCC Train spacing with SCMT Middle performances + ~ 3.900 km Freight lines (23%) Command Control System : CTCev, SCC Train spacing with block sections: SSC,SCMT ~ 7.950 km Subsidiary + Low Traffic Lines (48%) Command Control System : CTC Train spacing with block sections: SSC Economic Sustainability

  23. Main steps of an incremental strategical way ACCM+SCC+ETCS L3 without fall-back system, lateral signalling and train detection system both in line and station ACCM+SCC+ETCS L2 Pilot line +Train integrity without Avezzano- ETCS L3 + fall-back system, lateral Roccasecca GNSS signalling and lineside train detection system Pilot line Pinerolo- Sangone STA Merano-Malles ETCS L3 + ETCS L2 GNSS+ ATO + GNSS ETCS L2 without fall-back Trial Site Pilot line system and lateral Cagliari- ? signalling S.Gavino LFI Arezzo-Stia Arezzo-Sinalunga

  24. Functionality of ERSAT Trial Site GNSS Constellations (GPS+Galileo) (GPS+Galileo+EGNOS) + INMARSAT TALS & RBC Cagliari EGNOS IP – Based facilities connections over for augmentation existing RFI SDH Network + SATCOM Decimomannu Reference Samassi Reference Station Station + Complementary Positioning System for denied areas localisation Virtual Balise

  25. Satellite Application Development Plan Commissioning Pinerolo – 2012 2013 2014 2015 2016 2018 2020 2017 Sangone First Pilot Line By 3InSat 2020 Regional & Local ERSAT lines renewal at ERTMS-ETCS Test Site lower costs, with higher capacity and GNSS Signalling ensuring the highest Demonstrator safety level of Pilot Line ERTMS ERTMS application Validation and Certification

  26. From Rail to Automotive http://www.radiolabs.it Ansaldo STS S.p.A. – Hitachi Systems CBT S.p.A. University of Rome “Tor Vergata” – University of “L’Aquila” – Università of Rome “Roma Tre”

  27. The European Railway System Needs to Innovate! Outside World (Automotive, Digital, …) European Rail Status coordinated Innovation quo Continuous Unnovation Mainte- Improvement Decay nance Aspect Novelty - +++ +++ Scalability - - +++ Better - + - +++ Faster - + - +++ Cheaper - + - +++ More customised - + ++ +++ 32 Josef Doppelbaeur - ERSAT EAV Workshop, Cagliari 24 February 2017 4

  28. Road Transport landscape

  29. From Connected to Autonomous Vehicle DMI – with «safe» commands Speed control ERTMS Level 2 architecture

  30. Autonomous vehicle landscapes Connected car From ERTMS L2 to L3 Local maps of railways enironment Local maps with electronic & cooperative horizon IP-based communications Cybersecurity Autonomous vehicle positioning Cooperative navigation function Train integrity monitoring Safety margin for vehicles

  31. Levels of Automation according to SAE

  32. Cost forecast vs level of automation E. Pisino, June 13, 2017 -Roma

  33. Forecast R&D cost for car manufacturers E. Pisino, June 13, 2017 -Roma

  34. Traffic capacity vs automation levels Initial driverless Driverless + Capacity (vehicle/h) Connected car Connected car + Velocity (Km/h) Ennio Cascetta, MIT – 25 May 2016

  35. A Converging landscape

  36. Rio Tinto AutoHaul: 1st driverless train Highest Safety Level with benefits on Productivity → almost two hours loss-of-run time a day Ansaldo STS 180 Trains monitored and controlled via satellite links, less manpower on site  More productivity because driver changeover times are eliminated avoiding workers to travel more than 43,000 miles each week to get train drivers to where they start or end shifts, with a train trip from a mine to a port lasting 40 hours.  Trains would also not have to stop to switch drivers twice a day, as they currently have to do to relieve workers (20 to 30 minutes to undertake a controlled stop of locomotives each time a shift changeover is required and further 20 minutes to restart). http://www.mining-technology.com/features/featurerio-tintos-driverless-train-woes-4944523/

  37. Sinergy Car-Trains towards autonomous vehicle Automatic Train Control Centralized intervention in case speed Localization «accurate» and «safe» or train stop exceed prescribed values Real time reaction of the vehicle New sensors on vehicle From «centralized» control to F.Senesi, Workshop ERSAT EAV, Cagliari 24 February 2107 Road-Rail ICT-Infrastructures autonomous vehicle

  38. Car & train operate on similar «environment» A purely experimental approach SIL 4 is not sufficient Leverage analytical methods used for train safety 0 fatality on ~ 360 M km year on RFI network No collisions since 2007 on the RFI network thanks to the Automatic Train Control systems which protect about 100% of railways traffic (ANSF, April 2017)

  39. ROADMAP automated & connected vehicles (Mar. 2017) Road Waterborne Rail 2.0 CONNECTIVITY 1.0 CONNECTIVITY TALK 4G & V2X 5G & C-ITS TRUST CYBERSECURITY PRECISE LOCALIZE POSITONING and LOCALISATION SMART VEHICLE & SENSE INFRASTRUCTURE SENSING PERCEIVE EMBEDDED VEHICLE HW / SW ARTIFICIAL INTELLIGENCE ACT per automation INTERACT HUMAN FACTOR ANALYZE BIG DATA per TRANSPORT ANALYTICS INTEROPERATE INTEGRATED CONNECTED TRANSPORT SYSTEM & MANAGEMENT Refernce Cluster Trasporti Italia 45

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