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Simulation of the Iron Ore Line

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Simulation of the Iron Ore Line Simulation of the Iron Ore Line [Optimal Networks for Train Integration Management across Europe] Collaborative Project 7th Framework Programme Uppsala University, Borlänge, October 2014 Contents •Objectives • The Iron Ore Line • The On-TIME PMM • The Hermes simulator • The simulations performed • Results • Conclusions FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 1 Objectives • The objectives of the study are to: – Simulate normal traffic on the Iron Ore Line (IOL) – Evaluate the Hermes simulator for the IOL – Generate a number of relevant perturbation scenarios – Perform simulations for these scenarios • Using only the Hermes simulator • Using the perturbation management module (PMM) developed in WP4 – Evaluate the performance of the PMM • Qualitatively • Quantitatively FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 2 The Iron Ore Line • Kiruna (Sweden) to Narvik (Norway) • Single track, 165 km long • Heavy trains, 8600 tons, 750 m long • Mixed traffic • High capacity utilization FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 3 The ON-TIME PMM Infrastructure Signalling system Train driver Traffic Control System (route setting, remote Driver blocking) HMI Automatic execution DAS TC Traffic HMI controller RTTP TRAIN Perturbation Management Module (PMM) TMS TCC FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 4 Scenarios • The following scenarios have been specified 0. Baseline simulation, no perturbations 1. One Iron Ore Train delayed at departure 2. Extra train added 3. Long distance freight train delayed 4. Speed restriction between stations 5. Point out of order at one location • Meetings not possible FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 5 Output from simulations • Hermes simulator output • The Matlab tool, developed by UoB – Uses log-files generated by Hermes – Calculates quantitative measures for specified key performance indicators (i.e. journey time, resilience, punctuality, energy consumption, resource usage....). – Calculates and presents time-distance graphs for qualitative evaluation of PMM re-planning. FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 6 Hermes – Iron Ore Line FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 7 Meeting at station Train 9919 and Train 9926 meet at BFS - 12:29 FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 8 Hermes - Speed Restrictions Baseline Scenario Speed Restriction Speed Restriction: Train 9926 drives at a speed of 60km/h between Train 9926 drives at a speed of 40km/h between Train 9919 drives at a speed of 40km/h the stations RSN and BFS the stations RSN and BFS between the stations RSN and BFS FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 9 Side Track Disrupted Side track at SOA is disrupted FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 10 Time-distance graph Station Time (hours) FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 11 Simulations • Simulations performed – Baseline simulations, with original timetable, no perturbations, to validate the model – Simulations with perturbations for the different scenarios, no PMM • Scenario 1: One iron ore train delayed • Scenario 2: Speed restrictions between two stations – Simulations with perturbations for the different scenarios, with PMM • ROMA algorithms • RECIFE algorithms FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 12 Conclusions • The Hermes simulator can simulate the IOL, with some limitations. • The PMM algorithms can perform operational re-planning in the tested scenarios. • To be fully relevant for the IOL, additional requirements must be fulfilled. Some limitations today are: – Headways are sometimes too small – Unnecessary stops for meetings are not eliminated – Priorities between trains are not specified – The interactive connection to human control is not developed – The integration of the PMM into the HMI of the traffic controller is not developed FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 13 A delayed Scenario 1 - ROMA iron ore train FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 14 Short Scenario 1 - ROMA headways FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 15 Unnecessary Scenario 1 - ROMA stops not eliminated FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 16 Priorities Scenario 1 - ROMA between trains ? FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 17 Scenario 1 - RECIFE FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 18 Speed restrictions Scenario 2 - ROMA Rsn-Bfs (20 km/h) FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 19 Short Scenario 2 - ROMA headways? FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 20 Unnecessary Scenario 2 - ROMA stops FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 21 Priorities between Scenario 2 - ROMA trains? FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 22 Scenario 2 - RECIFE FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 23 Final Conclusions • Further evaluation of the simulations are needed • The quality of the RTTP generated by the PMM will be further evaluated • Additional elements must be included in the model and in the PMM, e.g.: – Different types of stops/meetings (fixed, dynamic..) – Priorities • Interactivity must be developed, together with HMI for the traffic controllers FP7 - ON-TIME Collaborative Project Borlänge, October 2014 Pag. 24.
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