Self-Balancing Decentralized Distributed Platform for Urban Traffic Simulation

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Show simple item record Bragard, Quentin Ventresque, Anthony Murphy, Liam, B.E. 2017-05-10T09:30:01Z 2017-05-10T09:30:01Z 2016 IEEE en 2017-05
dc.identifier.citation IEEE Transactions on Intelligent Transportation Systems en
dc.description.abstract Microscopic traffic simulation is the most accurate tool for predictive analytics in urban environments. However, the amount of workload (i.e., cars simulated simultaneously) can be challenging for classical systems, particularly for scenarios requiring faster than real-time processing (e.g., for emergency units having to make quick decisions on traffic management). This challenge can be tackled with distributed simulations by sharing the load between simulation engines running on different computing nodes, hence balancing the processing power required. This paper studies the performance of dSUMO, i.e., a distributed microscopic traffic simulator. dSUMO is fully decentralized and can dynamically balance the workload between its computing nodes, hence showing important improvements against classical, centralized and not dynamic, solutions. en
dc.description.sponsorship Science Foundation Ireland en
dc.language.iso en en
dc.publisher IEEE en
dc.rights © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Distributed simulation en
dc.subject Dynamic load-balancing en
dc.subject Time-stepped simulation en
dc.title Self-Balancing Decentralized Distributed Platform for Urban Traffic Simulation en
dc.type Journal Article en
dc.status Peer reviewed en
dc.identifier.volume 18 en
dc.identifier.issue 5 en
dc.identifier.startpage 1190 en
dc.identifier.endpage 1197 en
dc.identifier.doi 10.1109/TITS.2016.2603171
dc.neeo.contributor Bragard|Quentin|aut|
dc.neeo.contributor Ventresque|Anthony|aut|
dc.neeo.contributor Murphy|Liam, B.E.|aut|
dc.description.othersponsorship Lero en
dc.internal.rmsid 745299440 2017-05-05T06:03:44Z

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