OPENTRACK: Simulation of complex nodes



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OPENTRACK: Simulation of complex nodes Case Studies in Italy Zurich, 21st January 2010

About Us Important railway university in Italy OT Users since 2004 Spin-off since 2007 Cloose Cooperation with RFI FOCUS: Railway traffic studies Simulation of large networks Software development

References Stochatic micro-simulation in large nodes Roma, Firenze, Torino, Milano, Venezia, Napoli... Infrastructure improvement evaluation Roma - Pescara, Venezia, Roma, Milano, Corridor X... Functional design and capacity evaluation Ferrocarril Transandino (ARG-CHI) Temporary timetables during maintenance or improvement works Bologna - Firenze, Salerno, Milano - Treviglio, Roma, Palermo...

References NODES Torino Milano Verona Venezia TO MI FI VR VE BO TS and... Zagreb - Vinkovci Beograd - Bar Ferrocarril Transandino Bologna Firenze Roma RM NA BA Napoli Bari Palermo PA AG

TRENO Planned timetable Train traffic data Planned Delay analysis Line Layout Station Layout Check Panel Distributions Calendar Rolling stock Network Analyzer Corridor view Timetable Graph Timetable Graph Timetable Delay Distributions

Timetable validation (2008/09): New HSL Milano - Bologna New services Impact within the nodes? A Case Study: Milano

A Case Study: Milano Timetable validation (2008/09): New HSL Milano - Bologna New services Impact within the nodes? Milano

A Case Study: Milano Timetable validation (2008/09): New HSL Milano - Bologna New services Impact within the nodes? Milano Bologna

A Case Study: Milano Timetable validation (2008/09): New HSL Milano - Bologna New services Impact within the nodes? Milano Bologna

Milano: Simulation area km 0+200 km 0+000 MILANO CENTRALE I SEGNALI DI PARTENZA DI MILANO CENTRALE SONO STATI INSERITI AL POSTO DEI SEGNALI DI AVVIO km 1+855 I II III km 1+524 IV V VI VII VIII km 1+490 km 1+947 km 2+287 km 1+420 IX X XI XII km 2+020 km 2+370 PARCO km 1+383 XIII XIV XV XVI XVII XVIII XIX XX XXI SQUADRA RIALZO km 1+200 km 1+422 2+101 km 1+366 XXII XXIII XXIV

Milano: Simulation area km 0+200 km 0+000 MILANO CENTRALE I II I SEGNALI DI PARTENZA DI MILANO CENTRALE SONO STATI INSERITI AL POSTO DEI SEGNALI DI AVVIO km 1+855 250 Stations and stops III IV V VI VII VIII km 1+524 5000 Signals km 1+490 km 1+947 km 2+287 km 1+420 IX X XI XII 13000 Itineraries km 2+020 km 2+370 PARCO km 1+383 2700 km track XIII XIV XV XVI XVII XVIII XIX XX XXI SQUADRA RIALZO km 1+200 km 1+422 40.000 vertexes 2+101 800 trains km 1+366 XXII XXIII XXIV

Delay Analysis and Model Validation Analysis of 100 days Point out critical sections and trains Check corresponding timetable graph

Delay Analysis and Model Validation Analysis of 100 days Point out critical sections and trains Check corresponding timetable graph Initial delays Stop time variability Timetable

Delay Analysis and Model Validation Analysis of 100 days Point out critical sections and trains Check corresponding timetable graph Initial delays Stop time variability Timetable Simulation and comparison of results (multiple simulations): Calibration: Train movement, Itineraries, Dispatching, interlocking rules...

Network analyzer

Corridor view

Scenarios and simulation Scenarios Past distributions Doubled delays for all trains Doubled delays for selected train families Impact of different priorities

Scenarios and simulation Scenarios Past distributions Doubled delays for all trains Doubled delays for selected train families Impact of different priorities

Scenarios and simulation Scenarios Past distributions Doubled delays for all trains Doubled delays for selected train families Impact of different priorities Comparison 2008-2009 Point out weaknesses in 2009 Check corresponding timetable graph Evaluation of the Impact of higher delays Evaluation of the Impact of different itineraries/priorities

Results... 2009 timetable more robust than 2008 Higher punctuality But: Smart use of possible itineraries Priority to HS trains < 3 Definition of dispatching rules, priority to trains to Verona For Even HS trains, very important punctuality before Bologna...and in the real world? Mean punctuality +3% than forecasted (lower initial delays)

Conclusions OT useful to support decisions on wide range of problems OT works also on large networks But: Importance of model calibration (field measurements) Experience in railway operations required to avoid macro and minor mistakes

T H A N K Y O U FOR YOUR A T T E N T I O N! GIORGIO MEDEOSSI - University of Trieste