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- Title:
Agent-based transport simulations with multiple scale factors and network resolutions
- Document type:
- Forschungsdaten
- Publication date:
- 31.05.2019
- Responsible:
- Llorca, Carlos
- Authors:
- Llorca, Carlos; Moeckel, Rolf
- Author affiliation:
- TUM
- Publisher:
- TUM
- Identifier:
- doi:10.14459/2019mp1486118
- End date of data production:
- 07.05.2019
- Subject area:
- BAU Bauingenieurwesen, Vermessungswesen
- Other subject areas:
- BAU 851; BAU 853; BAU 870
- Resource type:
- Simulationen / simulations
- Data type:
- Tabellen / tables
- Other data type:
- XML road network; synthetic population; events and vehicles
- Description:
- The data contains road traffic simulations at the metropolitan area of Munich, using the agent-based transport model MATSim (Multi-agent Transport Simulation). Results are individual trips made by anonymous, synthetic travelers.
- Method of data assessment:
- The transport simulation is created based on a synthetic population of the metropolitan area of Munich for year 2011. Travel behavior replicates observed patterns as reported by the household travel survey Mobilität in Deutschland of 2008 (Deutsches Zentrum für Luft- und Raumfahrt, 2010). The model is not calibrated and do not intend to replicate the real traffic conditions in the study area. The use of the data is limited to the comparison among different model setups (scale factors, road netwo... »
- Links:
Llorca, C; Moeckel, R. (2019) Effects of scaling down the population for agent-based traffic simulations. Procedia Computer Science 151C, pp. 782-787
- Key words:
- transport simulation; agent-based simulation
- Technical remarks:
- The simulations represent the same scenario but they use various subsample sizes (1%, 5%, 10%, 20%, 50% and 100% of the synthetic population). Capacities are scaled down proportionally to the subsample size. Different model runs are made with different number of iterations (from 50 to 500 iterations) and with two different types of network: all roads (fine network) and major roads only (coarse network).
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rsync rsync://m1486118@dataserv.ub.tum.de/m1486118/ - Language:
- de
- Rights:
- by-sa, http://creativecommons.org/licenses/by-sa/4.0
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