10.07.2015 Views

Adding Public Transport to MATSim (Marcel Rieser)

Adding Public Transport to MATSim (Marcel Rieser)

Adding Public Transport to MATSim (Marcel Rieser)

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Large-Scale Application: Zurich: Road Network8


Large-Scale Application: Zurich: Transit Network9


Large-Scale Application: Zurich: Combined Network 10


Simulation Outcome11car users transit users train s<strong>to</strong>ps other transit s<strong>to</strong>ps


Simulation Outcome: Train Lines Highlighted12car users transit users train s<strong>to</strong>ps other transit s<strong>to</strong>ps


Simulation Outcome13High share oftransit usersHigh share ofcar userscar users transit users train s<strong>to</strong>ps other transit s<strong>to</strong>ps


Sensitivity Study14• Zurich has a good rapid-transit railways system• Remove one line (“S7”) from the model• Calculate share of transit users for each municipality• Compare <strong>to</strong> share of transit users in model with S7 included


Sensitivity Study: Transit Lines15Source: www.zvv.ch


Sensitivity Study: Transit Lines16S7 is the onlytransit line hereS7 does nots<strong>to</strong>p hereSource: www.zvv.chS7 is the onlytransit line here


Sensitivity Study: Outcome17Absolute change in share of transit users per municipality in %


Sensitivity Study: Outcome18Big changewhere S7 wasonly trainbeforeNo changewhere S7 didnot s<strong>to</strong>p beforeBig changewhere S7 wasonly trainbeforeAbsolute change in share of transit users per municipality in %


Outlook19• The transit simulation is also used for Berlin scenario• Transit Router is quite simple (and slow) at the moment,needs more work for future usage• More transit-specific analyses• Improved visualization of transit vehicles and passengers


Outlook: Example20Number of passengers enteringNumber of passengers leavingNumber of passengers in vehicleS<strong>to</strong>p 1S<strong>to</strong>p 2S<strong>to</strong>p 3S<strong>to</strong>p 4S<strong>to</strong>p 5


Conclusions21• Detailed, large-scale, agent-based simulation of public transit is feasible• Agent-based transit simulation is able <strong>to</strong> capture small differences intransit accessibility◦more details than simulation models using zones,as also intra-zonal aspects are considered• Agents can improve the mode choice during the simulationcompared <strong>to</strong> pre-calculated mode choice◦aggregated, averaged values in pre-calculation;simulation can split up averages in<strong>to</strong> single decisions again

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