Patrick M. Bösch and Francesco Ciari
Article (2017)
|
Published Version Terms of Use: Creative Commons Attribution . Download (602kB) |
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 |
---|
Abstract
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
![]() |
|
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/ |
![]() |
|
Journal Title: | Procedia Computer Science (vol. 109) |
---|---|
Publisher: | Elsevier |
Official URL: | https://doi.org/10.1016/j.procs.2017.05.406 |
Statistics
Total downloads
Downloads per month in the last year
Origin of downloads
Dimensions