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Name : Chengming Jin Supervisor : Allison Kealy GNSS-based Positioning Scheme & Application in Safety-critical Systems of Rail Transport CONTENT I ntroduction 1 Challenges 2 Solutions 3 Introduction How Modern Railway Signal Works?


  1. Name : Chengming Jin Supervisor : Allison Kealy GNSS-based Positioning Scheme & Application in Safety-critical Systems of Rail Transport

  2. CONTENT I ntroduction 1 Challenges 2 Solutions 3

  3. Introduction  How Modern Railway Signal Works? 1

  4. Introduction  Signalling System: Track Circuit 2

  5. Introduction  History of Signalling Systems 3 Diversity of European ATP systems ETRMS/ETCS Cockpit

  6. Introduction  Train Control Systems: Positioning Scheme Signalman Token one engine in steam Driver A token being offered by a signalman on the Keighley 4 and Worth Valley Railway (from Wikipedia)

  7. Introduction  Train Control Systems: Positioning Scheme speed, location speed, location Accumulated error Calibration 5

  8. Introduction  Train control systems: Balise 2.5 km More in station Expensive difficult to maintain 6

  9. Introduction  Signalling System: Fixed Block & Moving Block A B C D E Mainstream Signalling System Signalling System in the Future 7 *THE DEVELOPMENT AND PRINCIPLES OF UK SIGNALLING

  10. Introduction  Next-Generation Train Control System No track circuit Ability to determine train integrity on board No or less balise Trains find their position themselves Full radio-based train spacing Moving Block 8

  11. Introduction  GNSS  Location info.  with high accuracy  Time info.  in all weather conditions  Short messages(BDS)  anywhere on or near the Earth  Cost-efficient  available 24/7/365 9

  12. Introduction  GNSS-based train control systems GPS-based PTC (Positive Train EC and European Railway Agency Control) had been equipped in (ERA) launched many projects to ATLAS 400, an European GPS- the US and China (Qinghai-Tibet promote the progress of GNSS- based train control system Line) based railway applications GLONASS SDCM 2014 Shift2Rail WAAS GALI LEO EGNOS 2012 3InSat SATLOC MSAS GPS WAAS BDS QZSS 2010 GRail Ⅱ GAGAN 2005 GRail Non-safety 2004 GEORAIL applications ECORAIL Locoprol 2001 InteGRail Gaderos RUNE GNSS is a worldwide, cost-efficient approach to locate the target, Europe GNSS-based railway which makes GNSS-based positioning become one of the most promising applications projects positioning solutions for the next-generation train control system. 10

  13. CONTENT I ntroduction 1 Challenges 2 Solutions 3

  14. Challenges  GNSS was refused by railway: Policy issue  ETCS (European Train Control System) 、 CTCS (Chinese Train Control System) have been standardized in the last two decades.  Balise and STM (Specific Transmission Module) are necessary in ETCS-1,2. ERTMS/ETCS reference architecture* *SUBSET-026 ERTMS/ETCS System Requirements 11 Specification issue:3.0.0

  15. Challenges  GNSS was refused by railway: Masked sky Accuracy & multipath 34%  Accuracy of distances measured on-board: ± + (5 m 5% ) S  Accuracy of distinguishing parallel tracks: 1.5m Masked sky & multipath 3-5m ERTMS/ETCS reference architecture* *SUBSET-026 ERTMS/ETCS System Requirements 12 Specification issue:3.0.0

  16. Challenges  GNSS was refused by railway: There is a wall!! RAMS  Railway applications must meet the requirements for Reliability, Availability, Maintainability, and Safety  GNSS performance parameters, which are derived from aviation, are SIS Relation between GNSS and Railway Signalling Availability, Integrity, Continuity QoS Properties*  Safety: According to CCS TSI 2012/88/EU, for the hazard `exceeding speed and/or distance limits advised to ERTMS/ETCS' the tolerable rate (THR) is 10 -9 /h for random failure, for on-board ERTMS/ETCS and for track-side, and < 10 -9 positioning unit is just one of many subsystems. ? *Debiao Lu, “GNSS for Train Localisation Performance 13 Evaluation and Verification”, Dissertation, 2014.

  17. CONTENT I ntroduction 1 Challenges 2 Solutions 3

  18. Solutions  Solutions: Potentially SPS Pseudorange-based High Accuracy GNSS DGNSS High Availability RTK Carrier-phase-based GNSS High Safety PPP SPS: Standard Positioning Service DGNSS: Differential GNSS RTK: Real Time Kinematic PPP: Precise Point Positioning 14

  19. Solutions  Solutions: Why PPP? Station movements that result from geophysical phenomena such as tectonic plate motion, Earth Differential solutions tides and ocean loading enter the PPP solution in ϕ = ρ + ε full, as do observation errors resulting from the i i i troposphere and ionosphere. − ϕ = − ρ − ε Relevant satellite specific errors are satellite clocks, satellite antenna phase center offset, group j j j delay differential, relativity and satellite antenna phase wind-up error. PPP solutions Receiver specific errors are receiver antenna ϕ = ρ + ε phase center offset and receiver antenna phase k k k wind-up.  In comparison with DGNSS, PPP has higher accuracy(centimetre to decimetre level*)  Compared with RTK, PPP requires fewer reference stations globally distributed. PPP gives a highly redundant and robust position solution * M.D. Laínez Samper et al, Multisystem real time precise-point-positioning, Coordinates, Volume VII, Issue 2, February 2011 15

  20. Solutions  Solutions: PPP-based multi-sensor fusion δψ δ δ b b , b n , v p a g nb eb b b f Navigation Corrected Position, ib IMU ω Processor Velocity, Attitude b ib n n p , v − I I + n v O ODO EKF + δ K n n p , v G G Integrity Integrity PPP Monitoring Information IMU: Inertial Measurement Unit ODO: odometer 16 EKF: Extended Kalman Filter

  21. Solutions  Scenarios GNSS/PPP IMU ODO not converged Scenario 1 available available available available available available Scenario 2 converged unavailable Scenario 3 available available 16

  22. Solutions  On-site test GNSS/INS Kalman Filter compares with GNSS position 10 6 2.8956 2.8954 2.8952 2.895 2.8948 ECEF y axis (unit:m) 2.8946 2.8944 2.8942 2.894 Kalman Filter Solution 2.8938 GNSS Position Info. 2.8936 -4.1299 -4.1298 -4.1297 -4.1296 -4.1295 -4.1294 -4.1293 -4.1292 -4.1291 ECEF x axis (unit:m) 10 6 Trajectory of On-site Test Position Error 17

  23. Solutions  Simulation test 10 6 INS Navi. Solution Compares with Real Trajectory 4.3882 INS Navi. Solution 4.38815 Real Trajectory 4.3881 ECEF y axis (unit:m) 4.38805 4.388 4.38795 4.3879 4.38785 -2.1723 -2.1722 -2.1721 -2.172 -2.1719 ECEF x axis (unit:m) 10 6 SPIRENT Simulator Navigation Trajectory 17

  24. Solutions  Solutions: PPP-based multi-sensor fusion INS Navigation Error INS/ODO Kalman Filter Position Error 15 1 North error 0.5 East error Down error 10 0 INS/ODO Navigtaion error(unit:m) -0.5 5 Navigation Error(unit:m) -1 0 -1.5 -2 -5 North Error East Error -2.5 Down Error -3 -10 0 1000 2000 3000 4000 5000 6000 0 1000 2000 3000 4000 5000 6000 Num of Navigation Solution Num of Navigation Solution INS/ODO Kalman Filter Navigation Error INS Navigation Error *GNSS position error ~ N(0,1); GNSS velocity error ~ N(0,0.01); ODO velocity error ~ N(0,0.01) 17

  25. Solutions  Solutions: PPP-based multi-sensor fusion GNSS/INS/ODO Kalman Filter position error GNSS/INS Kalman Filter Position Error 0.6 1.2 North error North error 1 East error East error 0.4 Down error Down error 0.8 GNSS/INS Kalman Filter Navigation Error(unit:m) 0.2 0.6 GNSS/INS/ODO Navigation Error(unit:m) 0.4 0 0.2 -0.2 0 -0.2 -0.4 -0.4 -0.6 -0.6 -0.8 -0.8 0 1000 2000 3000 4000 5000 6000 0 1000 2000 3000 4000 5000 6000 Num of Navigation Solution (Sample frequency: 100 Hz) Num of Navigation Solution (Sample frequency: 100 Hz) GNSS/INS Kalman Filter Navigation Error GNSS/INS/ODO Kalman Filter Navigation Error *GNSS position error ~ N(0,1); GNSS velocity error ~ N(0,0.01); ODO velocity error ~ N(0,0.01) 18

  26. Solutions  Quality Control: Detection, Identification and Adaptation(DIA) − T 1 v Q v = k v k  t k Based on consistency check of innovations k m k *Quality control and integrity, Delft school 19

  27. Solutions  Quality Control: Detection, Identification and Adaptation(DIA) Bias (unit: m/s) Detected Missed Detection Success Rate 0 1000 20 98.04% 0.1 134 886 13.13% 0.5 1000 20 98.04% 1 1020 0 100% Bias (unit: degree) Detected Missed Detection Success Rate 0 1000 20 98.04% 0.0000001 77 943 7.54% 0.000001 1000 20 98.04% 0.1 1000 20 98.04% 0.5 1000 20 98.04% 10 1020 0 100% 20

  28. Solutions  Threshold THR <= 10 -9 /h 0.12 Chi-square Noncentral Chi-square 0.1 Threshold 0.08 0.06 0.04 0.02 0 0 5 10 15 20 25 30 35 40 45 50 20

  29. Solutions  Further Research DIA global test Track maps aided PPP integrity monitoring scheme 21

  30. Thank You Lhasa

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