Creating an integrated agent-based travel demand model by combining mobiTopp and MATSim
In the past years, the travel demand model mobiTopp has undergone substantial developments towards a full agent-based travel demand model. Until now, mobiTopp covers the generation of a synthetic population with synthetically generated activity plans, different models for ownership of cars or transit passes, destination choice models for long- and short-term destinations, and various mode choice models. However, it still does not contain a dynamic traffic assignment procedure for motorized traffic. On the other side, MATSim’s origin is a traffic flow simulation used for a dynamic traffic assignment, and in the past years, extensions for destination and mode choice have been developed on a fundamental or experimental basis. As the strengths of both models are in different parts of a travel demand model, it suggests itself to combine both instead of redeveloping the missing parts in both models. Therefore, this paper presents our approach of integrating mobiTopp and MATSim to build a full travel demand model.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
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Supplemental Notes:
- © 2019 Lars Briem et al. Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Briem, Lars
- Mallig, Nicolai
- Vortisch, Peter
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 776-781
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Serial:
- Procedia Computer Science
- Volume: 151
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-0509
- Serial URL: http://www.sciencedirect.com/science/journal/18770509
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Dynamic traffic assignment; Simulation; Travel demand
- Identifier Terms: MATSim (Computer program); mobiTopp (Computer model)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01712677
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 29 2019 10:32AM