Hermes: Enabling efficient large-scale simulation in MATSim

Graur, Dan; Bruno, Rodrigo; Bischoff, Joschka; Rieser, Marcel; Scherr, Wolfgang; Hoefler, Torsten; Alonso, Gustavo

doi:10.1016/j.procs.2021.03.079

Cited by 13 publications

(2 citation statements)

References 14 publications

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“…While in the state-of-the-art works the authors focused on the construction of a scenario related to a specific city (or region) or on the simulator modules [34]- [37] or performances [38]- [40], in this paper we decided to focus not only on the construction of a scenario related to the city of Messina but especially on the implementation of a code that allows the analysis of the MATSim output.…”

Section: Related Workmentioning

confidence: 99%

Design and Analysis of a MATSim Scenario from Open Data: The Case of Messina

Ficara,

Fazio,

Celesti

et al. 2024

Preprint

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Section: Related Workmentioning

confidence: 99%

Design and Analysis of a MATSim Scenario from Open Data: The Case of Messina

Ficara,

Fazio,

Celesti

et al. 2024

Preprint

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“…The Replanning module, for example, has been revised so that this step executed according to other parameters, so as to have faster convergence [10]. The simulation module has also been modied, so that there is an "event-driven" approach instead of the "time-step based" approach (QSIM vs. JDEQSIM and HERMES) [11,12]. Here we propose a new algorithmic concept for the Replanning module based on the use of parallelism.…”

Section: Related Workmentioning

confidence: 99%

A High Performance Algorithmic Variant of MATSim Road Traffic Simulator

Moukir

Emad

Baudelocq

2023

2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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In this paper, we propose a new high-performance computing approach to road trafc simulation. Multi-agent road trafc simulators are the most accurate and realistic that currently exist, however they are very resource intensive and the data are massive when simulating a metropolis or a region. The main contribution of this paper is the presentation of a new concept based on the Unite and Conquer approach, allowing to set up several parallel executions with different parameters. Applied on MATSim, one of the most present multi-agent trafc simulators in the literature, it allows to reduce the number of iterations needed to converge to the optimal solution. In this paper, we show how the Unite and Conquer approach applied to MATSim brings a substantial gain in computing time and points out its potential application to other multi-agent simulators.

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A data-driven approach to improving evacuation time estimates during wildfires for communities with part-time residents in the wildland-urban interface

2022

International Journal of Disaster Risk Reduction

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Hermes: Enabling efficient large-scale simulation in MATSim

Cited by 13 publications

References 14 publications

Design and Analysis of a MATSim Scenario from Open Data: The Case of Messina

Design and Analysis of a MATSim Scenario from Open Data: The Case of Messina

A High Performance Algorithmic Variant of MATSim Road Traffic Simulator

A data-driven approach to improving evacuation time estimates during wildfires for communities with part-time residents in the wildland-urban interface

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