Hermes: Enabling efficient large-scale simulation in MATSim
dc.contributor.author
Graur, Dan
dc.contributor.author
Bruno, Rodrigo
dc.contributor.author
Bischoff, Joschka
dc.contributor.author
Rieser, Marcel
dc.contributor.author
Scherr, Wolfgang
dc.contributor.author
Hoefler, Torsten
dc.contributor.author
Alonso, Gustavo
dc.date.accessioned
2021-08-19T08:18:34Z
dc.date.available
2021-08-18T02:37:00Z
dc.date.available
2021-08-19T08:18:34Z
dc.date.issued
2021
dc.identifier.issn
1877-0509
dc.identifier.other
10.1016/j.procs.2021.03.079
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/501211
dc.identifier.doi
10.3929/ethz-b-000501211
dc.description.abstract
Large scale simulations of transportation networks can yield highly valuable insights into the design decisions needed to deliver the best possible transportation service. Current technologies, however, are generally unable to provide support for large scale simulations as they often require impractical amounts of time to compute results. To address this issue, we have developed Hermes, a novel simulation core for MATSim designed as an alternative to QSim. Using an event-driven approach, as well as numerous optimizations to the data structures and the simulation logic, Hermes is capable of completing simulations of larger scale scenarios within feasible time frames. We demonstrate Hermes’ capabilities through extensive experiments as well as through production level results obtained from the Swiss Federal Railways (SBB), where Hermes is currently being used in production.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
MATSim
en_US
dc.subject
Event-Driven Simulation
en_US
dc.subject
Scalability
en_US
dc.subject
Efficiency
en_US
dc.subject
Transportation Simulation Software
en_US
dc.title
Hermes: Enabling efficient large-scale simulation in MATSim
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2021-05-18
ethz.journal.title
Procedia Computer Science
ethz.journal.volume
184
en_US
ethz.pages.start
635
en_US
ethz.pages.end
641
en_US
ethz.size
7 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
12th International Conference on Ambient Systems, Networks and Technologies (ANT) / 4th International Conference on Emerging Data and Industry 4.0 (EDI40)
en_US
ethz.event.location
Warsaw, Poland
en_US
ethz.event.date
March 23–26, 2021
en_US
ethz.notes
Conference lecture held on March 24, 2021
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::03506 - Alonso, Gustavo / Alonso, Gustavo
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02663 - Institut für Computing Platforms / Institute for Computing Platforms::03506 - Alonso, Gustavo / Alonso, Gustavo
en_US
ethz.date.deposited
2021-08-18T02:37:29Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-08-19T08:18:47Z
ethz.rosetta.lastUpdated
2022-03-29T11:15:45Z
ethz.rosetta.versionExported
true
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