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  5. Self-Balancing Decentralized Distributed Platform for Urban Traffic Simulation
 
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Self-Balancing Decentralized Distributed Platform for Urban Traffic Simulation

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Author(s)
Bragard, Quentin 
Ventresque, Anthony 
Murphy, Liam, B.E. 
Uri
http://hdl.handle.net/10197/8494
Date Issued
May 2017
Date Available
10T09:30:01Z May 2017
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.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Lero
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Intelligent Transportation Systems
Volume
18
Issue
5
Start Page
1190
End Page
1197
Copyright (Published Version)
2016 IEEE
Keywords
  • Distributed simulatio...

  • Dynamic load-balancin...

  • Time-stepped simulati...

DOI
10.1109/TITS.2016.2603171
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
11
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Feb 5, 2023
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