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Preferred citation style for this presentation

Preferred citation style for this presentation. Axhausen, K.W. (2006) Next steps ?, MATSIM-T Developer Workshop, Castasegna, October 2006. Next steps ?. KW Axhausen with comments by K Nagel IVT ETH Zürich October 2006. Conceptual starting point. k(t,r,j) i,n. Mental map.

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  1. Preferred citation style for this presentation • Axhausen, K.W. (2006) Next steps ?, MATSIM-T Developer Workshop, Castasegna, October 2006.

  2. Next steps ? KW Axhausen with comments by K Nagel IVT ETH Zürich October 2006

  3. Conceptual starting point k(t,r,j)i,n Mental map Competition for slots on networks and in facilities Activity scheduling qi ≡ (t,r,j)i,n

  4. Upcoming projects and possibilities at ETH • KTI – Speeding it up (7 PY) • SNF – Influenca dissemination (1/2 PY) • NFP 54 – Parking supply agent (decision by October) • ETH – Retail supply agent (decision by March) • VW – Social networks & travel (second stage in preparation) • BAK – Road pricing application (first talks) • Kanton – Uetlibergtunnel impact (first talks)

  5. Upcoming projects and opportunities at TU Berlin • VOLVO (2PM left) -- dynamic road pricing • COOPERS (10 PM) -- telematics scenarios • Tsunami evacuation (3PJ) -- application pending • VW – Social networks & travel (second stage in preparation) (see above)

  6. Other initiatives • PTV project for an XML-kernel for data exchange between models (BMBV) • PUMA, TU/E, CEMDAP, PB and CS in search of a DTA ?

  7. What do we have to do in the next 12 months ? • Interface to TeleAtlas and to commerical databases • Overnight run for 8 mio agents to steady state (with small parallel machine ?) • Mode choice (planomat or brain ?) • Routers for public transport, cyclists, pedestrians • Better chains, durations and timings • Destination choice at parcel level • Parameter estimation for planomat • Validation phase

  8. What do we have to do in the next 12 months ? • Stabilize matsim on sourceforge • Regression testing • Moving towards better code robustness • User interface? • (Output database) • Analysis tools

  9. First ideas for the to do list • Mode choice (in the steady state context): • Travel time surface for any x,y – pair and any time t for all modes (intermodal routes ?) (taste differences ?) • Cost model parking; tolls • Cost model public transport • Speed: • Better initialisation of speeds (speed surfaces) • Reuse of travel time surfaces between scenarios • More intelligent replanning rates • Scheduling module (GA, CMA, Ant optimisation, etc. ?)

  10. First ideas for the the to do list • Better chains as inputs: • Larger range of chains (realistic trip rates) • Coding of chains also by duration class • Improved (variation of) time windows • Validation: • Quality of population synthesis • Traffic counts (and their comparability) • Use of the speed estimates from the FCD data

  11. Other goals • Plug & play • Quasi – commercialisation • Behavioural richness • Steady state and evolution

  12. Plug & play ? • Do we want to invest into • XML – standards (e.g. RailML ?) • Integration into OPUS • Interface to PUMA • Interface to VISUM/VISSIM • Interfaces to Tasha, Albatross, FAMOS, CEMDAP

  13. Quasi-commercialisation • Target: • Consultancy or research group with sound GIS/data management capabilities • Some programming skills • Requirements: • Data conversion and imputation tools • Integration with BIOGEME and parameter estimation tools • Run management and data extraction/comparison • Visualisation and animation (Link to OpenEV or Saga) • Better documentation, starter kit, www.matsim.org

  14. Behavioural richness • Agenda generation (Habib & Miller) • Household interaction • Shared trips • Timetable coordination • Social network interactions • Location choice • Timetable coordination • Capacity constraints at destinations

  15. Behavioural richness • Intermodal routes • Richer traffic flow model • Traffic control systems • Parking and parking search • Supply side agents • Parking • DRT • Shopping

  16. Evolution over multiple days (periods) • Dynamic agenda generation • Seasonality • Communication between agents • Generating the initial mental map • Storing the mental map • Updating the mental map

  17. Priorities • Share of effort for development and for interfaces ? • What do we want to do when ? • Who does what when ? • How do we choose ? • How do we monitor progress ?

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