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MacroSim - A macroscopic Mobsim for MATSim

Patrick M. Bösch and Francesco Ciari

Article (2017)

Published Version
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Cite this document: Bösch, P. M. & Ciari, F. (2017). MacroSim - A macroscopic Mobsim for MATSim. Procedia Computer Science, 109, p. 861-868. doi:10.1016/j.procs.2017.05.406
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The simulation of large-scale scenarios requires high-performance simulations. MATSim, an agent-based transport simulation, is increasingly reaching limits. The traditional approach is to scale the scenarios, i.e. simulating only 10% of a population instead of 100%. This paper suggests MacroSim, a macroscopic mobility simulation module for MATSim, to overcome the current per- formance limits within MATSim. It uses volume-delay functions to estimate travel times for links based on experienced usages of these links. This allows to decouple agents and thus allows a parallelization of the mobility simulation within MATSim per design. A preliminary implementation of MacroSim showed promising results (7 to 50 times faster than the current mobility simulation depending on the scenario size). Given its limitations - most important no back propagation of traffic congestion - MacroSim is suggested as a complementary mobility simulation to the current implementation for cases where scenario size and simulation performance are more important than precise traffic dynamics.

Uncontrolled Keywords

Simulation; Agent-Based; MATSim; Transport; Macroscopic

Open Access document in PolyPublie
Subjects: 1000 Génie civil > 1000 Génie civil
1000 Génie civil > 1003 Génie du transport
2700 Technologie de l'information > 2706 Génie logiciel
2700 Technologie de l'information > 2716 Réalité virtuelle et simulations connexes
Department: Département des génies civil, géologique et des mines
Research Center: Non applicable
Date Deposited: 19 Jul 2021 15:57
Last Modified: 20 Jul 2021 01:20
PolyPublie URL: https://publications.polymtl.ca/4799/
Document issued by the official publisher
Journal Title: Procedia Computer Science (vol. 109)
Publisher: Elsevier
Official URL: https://doi.org/10.1016/j.procs.2017.05.406


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