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The Budapest Transportation Planning Model A Cube Cloud demonstration model

The Budapest Transportation Planning Model A Cube Cloud demonstration model. Andreas Köglmaier Regional Director. Content. Overview of transport issues in Hungary and Budapest The transport system of Budapest The Budapest transport plan Model structure The Cube Cloud trial account

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The Budapest Transportation Planning Model A Cube Cloud demonstration model

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  1. The Budapest Transportation Planning Model A Cube Cloud demonstration model Andreas Köglmaier Regional Director

  2. Content • Overview of transport issues in Hungary and Budapest • The transport system of Budapest • The Budapest transport plan • Model structure • The Cube Cloud trial account • Using the Budapest model to test Cube Cloud

  3. Geographic context: Hungary

  4. Budapest conurbation (Model area) Source: Budapest statisztikaiévkönyve

  5. Budapest road network

  6. Public transport modes in Budapest • Metro (two systems) 33 km • Tram 155 km • Local Rail • Trolleybus, Bus • Cogwheel railway, funicular • Steam train, chair lift

  7. Budapest metro Source: Budapest statisztikaiévkönyve

  8. Budapest mode share

  9. Role of modeling in Master Plan • Transportation infrastructure and traffic project’s impact analysis • Data provision for cost-benefit analyses • Data supply for environmental analyses • Support establishment of project selection and project prioritisation

  10. Model data • Road and public transit infrastructure • Road network • MÁV, HÉV és Metro railway networks • Public transport network and timetables (2008) • BKV • MÁV • Volánbusz and others • Household surveys • 2004 évi BKV household survey • 2007 évi S-bahn household survey

  11. Model data • Traffic counts • Roadway traffic (2004-2008) • BKV public transport patronage data (2007) • MÁV public transport patronage data (2005) • Year 2006 MÁV ésVolán traffic counts in the outbound direction within Budapest (2006) • Population, employment, vehicle ownership forecasts

  12. Software used for Budapest model • Trip table calibration: CUBE Analyst • Highway trip table calibration (AM peak, PM peak, evening, night) • Transit trip calibration (AM peak, PM peak, daily) • Trip table forecast: • Multiple regression analyses: SPSS • Matrix manipulation: CUBE Voyager 5.0 • Mode choice model • Calibration: Biogeme 1.7 • Incremental logit model: CUBE Voyager 5.0 • Highway and transit assignment: CUBE Voyager 5.0

  13. Model scenarios • 10 initial road/public transit scenarios (Phase I) • 5 low budget scenarios • 5 high budget scenarios • 2 final scenarios • Special analyses • Area wide toll • Unified tariff system • Project level analysis: 56 road and PT projects (Phase II)

  14. Model structure

  15. Assignment • Highway assignment • Four time periods (AM, PM, evening, night) • Equilibrium assignment with 3 vehicle classes • Fixed number of iterations between 8-40 • Daily volumes derived by the linear combination of 4 periods via using factors by road and area type • Public transport assignment • Daily assignment (AM peak timetable) • Multi path assignment • Capacity constrained (crowding) model with six iterations

  16. Budapest Model on Cube Cloud

  17. Budapest Model on Cube Cloud

  18. Budapest Model on Cube Cloud

  19. Budapest Model on Cube Cloud

  20. Budapest Model on Cube Cloud

  21. Budapest Model on Cube Cloud

  22. Budapest Model on Cube Cloud

  23. Budapest Model on Cube Cloud

  24. Test the benefits of Cube Cloud • Internet: movement from a desktop-bound, ‘locked’ environment to an internet-based, ‘open’, sharable, ‘work from anywhere/anytime’ environment • Community Resource: model application and planning analysis done by non-experts using common web-browsers moving models to an active role in collaborative transportation planning • Cloud-Computing: placement of the models, data and software in a cloud-computing environment lowering hardware costs locally while providing ‘unlimited’ high-spec resources • Lower costs for the user: movement from locally licensed desktops to a software as a service model. Monthly subscription business model allowing many to use the model at low, or even, no cost • Lessens IT complexity: much of the IT burden of modeling is shifted from the user to the vendor • Data and Software Integration: easier to integrate with external systems: development reviews, regional air quality analysis, pavement maintenance systems, traffic and transit ITS systems and to receive and use data from data probes, detectors and static data sources

  25. Acknowledgement • Csaba Kelen • Address: Kozlekedes Ltd, H-1052 Budapest, Bécsiutca 5 • Phone: +36.1.235.2020/105 • Fax: +36.1.235.2021 • Email: csaba.kelen@kozlekedes.hu

  26. Thank you! Andreas Köglmaier Regional Director akoeglmaier@citilabs.com

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