research-article

Relaxing Synchronization in Parallel Agent-Based Road Traffic Simulation

Authors:

Michael Lees, and

Daniel ZeheAuthors Info & Claims

ACM Transactions on Modeling and Computer Simulation (TOMACS), Volume 27, Issue 2

Article No.: 14, Pages 1 - 24

https://doi.org/10.1145/2994143

Published: 27 May 2017 Publication History

Abstract

Large-scale agent-based traffic simulation is computationally intensive. Parallel computing can help to speed up agent-based traffic simulation. Parallelization of agent-based traffic simulations is generally achieved by decomposing the road network into subregions. The agents in each subregion are executed by a Logical Process (LP). There are data dependencies between LPs which require synchronization of LPs. An asynchronous protocol allows LPs to progress and communicate asynchronously. LPs use lookahead to indicate the time to synchronize with other LPs. Larger lookahead means less frequent synchronization operations. High synchronization overhead is still a major performance issue of large-scale parallel agent-based traffic simulations. In this article, two methods to increase the lookahead of LPs for an asynchronous protocol are developed. They take advantage of uncertainties in traffic simulation to relax synchronization without altering simulation results statistically. Efficiency of the proposed methods is investigated in the parallel agent-based traffic simulator SEMSim Traffic. Experiment results showed that the proposed methods are able to reduce overall running time of the parallel simulation compared to existing methods.

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Cited By

Chan CKuncheria AMacfarlane J(2023)Simulating the Impact of Dynamic Rerouting on Metropolitan-scale Traffic SystemsACM Transactions on Modeling and Computer Simulation10.1145/357984233:1-2(1-29)Online publication date: 28-Feb-2023
https://dl.acm.org/doi/10.1145/3579842
Wan LYin GWang JBen-Dor GOgulenko AHuang Z(2023)PATRIC: A high performance parallel urban transport simulation framework based on traffic clusteringSimulation Modelling Practice and Theory10.1016/j.simpat.2023.102775126(102775)Online publication date: Jul-2023
https://doi.org/10.1016/j.simpat.2023.102775
Chen FLi D(2023)Load Balancing Oriented Quick Partitioning Algorithm of Simulation Road Network for Parallel Traffic SystemsProceeding of 2022 International Conference on Wireless Communications, Networking and Applications (WCNA 2022)10.1007/978-981-99-3951-0_48(438-446)Online publication date: 27-Jul-2023
https://doi.org/10.1007/978-981-99-3951-0_48
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Index Terms

Relaxing Synchronization in Parallel Agent-Based Road Traffic Simulation
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation types and techniques
      1. Discrete-event simulation
      2. Massively parallel and high-performance simulations

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Published In

cover image ACM Transactions on Modeling and Computer Simulation

ACM Transactions on Modeling and Computer Simulation Volume 27, Issue 2

Special Issue on PADS 2015

April 2017

203 pages

ISSN:1049-3301

EISSN:1558-1195

DOI:10.1145/3015562

Editor:
Adelinde M. Uhrmacher
University of Rostock, Germany

Issue’s Table of Contents

Copyright © 2017 ACM.

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Association for Computing Machinery

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Publication History

Published: 27 May 2017

Accepted: 01 August 2016

Revised: 01 May 2016

Received: 01 December 2015

Published in TOMACS Volume 27, Issue 2

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Cited By

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https://dl.acm.org/doi/10.1145/3579842
Wan LYin GWang JBen-Dor GOgulenko AHuang Z(2023)PATRIC: A high performance parallel urban transport simulation framework based on traffic clusteringSimulation Modelling Practice and Theory10.1016/j.simpat.2023.102775126(102775)Online publication date: Jul-2023
https://doi.org/10.1016/j.simpat.2023.102775
Chen FLi D(2023)Load Balancing Oriented Quick Partitioning Algorithm of Simulation Road Network for Parallel Traffic SystemsProceeding of 2022 International Conference on Wireless Communications, Networking and Applications (WCNA 2022)10.1007/978-981-99-3951-0_48(438-446)Online publication date: 27-Jul-2023
https://doi.org/10.1007/978-981-99-3951-0_48
Breugnot PHerrmann BLang CPhilippe LRousset A(2022)Politiques de synchronisation dans les systèmes multi-agents distribués parallèlesRevue Ouverte d'Intelligence Artificielle10.5802/roia.423:5-6(527-556)Online publication date: 22-Nov-2022
https://doi.org/10.5802/roia.42
Potuzak T(2022)Current Trends in Road Traffic Network Division for Distributed or Parallel Road Traffic Simulation2022 IEEE/ACM 26th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)10.1109/DS-RT55542.2022.9932112(77-86)Online publication date: 26-Sep-2022
https://doi.org/10.1109/DS-RT55542.2022.9932112
Kutyev ABekeneva Y(2021)Simulation Software for Generating Data in Monitoring Systems2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)10.1109/ElConRus51938.2021.9396098(486-489)Online publication date: 26-Jan-2021
https://doi.org/10.1109/ElConRus51938.2021.9396098
Zhang LZhang MWang JLi XZhu W(2021)Internet connected vehicle platoon system modeling and linear stability analysisComputer Communications10.1016/j.comcom.2021.04.015174(92-100)Online publication date: Jun-2021
https://doi.org/10.1016/j.comcom.2021.04.015
Görür Bİmre KOğuztüzün HYilmaz L(2019)Predetermined Rollbacks: An extension to Time Warp for spatially parallel agent-based simulationSimulation Modelling Practice and Theory10.1016/j.simpat.2019.04.00895(60-77)Online publication date: Sep-2019
https://doi.org/10.1016/j.simpat.2019.04.008
Andelfinger PXu YCai WEckhoff DKnoll AQuaglia FPellegrini ATheodoropoulos G(2018)Fast-Forwarding Agent States to Accelerate Microscopic Traffic SimulationsProceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/3200921.3200923(113-124)Online publication date: 14-May-2018
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(2017)Guest Editorial for the TOMACS Special Issue on the Principles of Advanced Discrete Simulation (PADS)ACM Transactions on Modeling and Computer Simulation10.1145/308454327:2(1-3)Online publication date: 6-Jul-2017
https://dl.acm.org/doi/10.1145/3084543

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