A pure distributed framework for large-scale microscopic traffic simulation

被引:0
|
作者
Wu, Ai [1 ]
Liu, Xinsong [1 ]
Liu, Kejian [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci, Chengdu 610054, Peoples R China
关键词
microscopic traffic simulation; distributed model; synchronization mechanism; distributed database; failure recovery;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Microscopic traffic simulation is effective for analyzing transportation networks, and distributed simulation modeling is the optimal approach for the simulation. In this paper, a pure distributed modeling framework (called DMTSS) for large-scale traffic simulation is proposed. DMTSS consists of low-cost PCs networked by high-speed local area network, the heavy computational task is divided into multiple light subtasks according to transportation subnets, and subtasks are distributed to these PCs. A distributed database is used to hold necessary data, and a distributed synchronization mechanism is employed to improve the efficiency of synchronization. To ensure the system stably running for long time, the failure recovery scheme is presented to recover the system from error state. Implemented details such as communication and are also discussed. Analyses indicate that the proposed framework is scalable and reliable and effective.
引用
收藏
页码:56 / +
页数:2
相关论文
共 50 条
  • [1] A distributed, scalable, and synchronized framework for large-scale microscopic traffic simulation
    Klefstad, R
    Zhang, Y
    Lai, MJ
    Jayakrishnan, R
    Lavanya, R
    [J]. 2005 IEEE Intelligent Transportation Systems Conference (ITSC), 2005, : 813 - 818
  • [2] Parallel Simulation of Large-scale Microscopic Traffic Networks
    Dai, Wei
    Zhang, Jiachen
    Zhang, Dongliang
    [J]. 2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 3, 2010, : 22 - 28
  • [3] A parallel computing framework for large-scale microscopic traffic simulation based on spectral partitioning
    Liu, Zhiyuan
    Xie, Shen
    Zhang, Honggang
    Zhou, Dinghao
    Yang, Yuwei
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2024, 181
  • [4] Development and calibration of a large-scale microscopic traffic simulation model
    Jha, M
    Gopalan, G
    Garms, A
    Mahanti, BP
    Toledo, T
    Ben-Akiva, ME
    [J]. CALIBRATION AND VALIDATION OF SIMULATION MODELS 2004, 2004, (1876): : 121 - 131
  • [5] A distributed framework for scalable large-scale crowd simulation
    Lozano, Miguel
    Morillo, Pedro
    Lewis, Daniel
    Reiners, Dirk
    Cruz-Neira, Carolina
    [J]. VIRTUAL REALITY, PROCEEDINGS, 2007, 4563 : 111 - +
  • [6] Performance Analysis for Large-Scale Parallel Microscopic Traffic Simulation System
    Yin Fei
    Zhang Dongliang
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2009, 5 (01): : 92 - 92
  • [7] Metamodel-based calibration of large-scale multimodal microscopic traffic simulation
    Patwary, A. U. Z.
    Huang, Wei
    Lo, Hong K.
    [J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2021, 124
  • [8] Designing a Time-Driven Simulation Framework for Large-Scale Traffic Networks
    Jiang, Xuan
    [J]. PROCEEDINGS OF THE 38TH ACM SIGSIM INTERNATIONAL CONFERENCE ON PRINCIPLES OF ADVANCED DISCRETE SIMULATION, ACM SIGSIM-PADS 2024, 2024, : 79 - 80
  • [9] Large-scale microscopic simulation of taxi services
    Maciejewski, Michal
    Bischoff, Joschka
    [J]. 6TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2015), THE 5TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2015), 2015, 52 : 358 - 364
  • [10] A Modelling, Simulation, and Validation Framework for the Distributed Management of Large-scale Processing Systems
    Nazari, Shaghayegh
    Sonntag, Christian
    Stojanovski, Goran
    Engell, Sebastian
    [J]. 12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING (PSE) AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT A, 2015, 37 : 269 - 274