ANISOTROPIC MESOSCOPIC TRAFFIC SIMULATION APPROACH TO SUPPORT LARGE-SCALE TRAFFIC AND LOGISTIC MODELING AND ANALYSIS

被引:0
|
作者
Tian, Ye [1 ]
Chiu, Yi-Chang [1 ]
机构
[1] Univ Arizona, Dept Civil Engn & Engn Mech, Tucson, AZ 85721 USA
来源
PROCEEDINGS OF THE 2011 WINTER SIMULATION CONFERENCE (WSC) | 2011年
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Large-scale traffic and transportation logistics analysis requires a realistic depiction of network traffic condition in a dynamic manner. In the past decades, vehicular traffic simulation approaches have been increasingly developed and applied to describe time-varying traffic dynamics. Most of the existing approaches are so-called microscopic simulation in which complex driving behaviors such as car following and lane-changing are explicitly modeling in second or sub-second time resolution. These approaches are generally challenging to calibrate and validate and they demand a vast amount of computing resources. This paper discusses a new Anisotropic Mesoscopic Simulation (AMS) approach that carefully omits micro-scale details but nicely preserves critical traffic dynamics characteristics. The AMS model allows computational speed-ups in the order of magnitudes compared to the microscopic models, making it well-suited for large-scale applications. The underlying simulation rules and macroscopic dynamical characteristics are presented and discussed in this paper.
引用
收藏
页码:1495 / 1507
页数:13
相关论文
共 50 条
  • [21] Designing large-scale interactive traffic animations for urban modeling
    Garcia-Dorado, I.
    Aliaga, D. G.
    Ukkusuri, S. V.
    COMPUTER GRAPHICS FORUM, 2014, 33 (02) : 411 - 420
  • [22] Detection of redundant traffic in large-scale communication networks based on logistic regression
    Wen X.
    Huang L.
    Zheng Y.
    Zhao H.
    International Journal of Reasoning-based Intelligent Systems, 2024, 16 (01) : 8 - 15
  • [23] A Large-Scale Analysis of Deployed Traffic Differentiation Practices
    Li, Fangfan
    Niaki, Arian Akhavan
    Choffnes, David
    Gill, Phillipa
    Mislove, Alan
    SIGCOMM '19 - PROCEEDINGS OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION, 2019, : 130 - 144
  • [24] An accurate approach of large-scale IP traffic matrix estimation
    Jiang, Dingde
    Chen, Jun
    He, Linbo
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2007, E90B (12) : 3673 - 3676
  • [25] An Accurate Approach to Large-Scale IP Traffic Matrix Estimation
    Jiang, Dingde
    Hu, Guangmin
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2009, E92B (01) : 322 - 325
  • [26] A Fast Approach of Large-Scale IP Traffic Matrix Estimation
    Jiang, Dingde
    Chen, Jun
    He, Linbo
    Hu, Guangmin
    2007 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-15, 2007, : 1913 - +
  • [27] Jam Propagation Analysis With Mesoscopic Traffic Simulation
    Varga, Balazs
    Tettamanti, Tamas
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 24 (12) : 14162 - 14173
  • [28] Calibration and validation of large-scale traffic simulation networks: a case study
    Bartin, Bekir
    Ozbay, Kaan
    Gao, Jingqin
    Kurkcu, Abdullah
    9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS, 2018, 130 : 844 - 849
  • [29] InterSCSimulator: Large-Scale Traffic Simulation in Smart Cities Using Erlang
    Zambom Santana, Eduardo Felipe
    Lago, Nelson
    Kon, Fabio
    Milojicic, Dejan S.
    MULTI-AGENT BASED SIMULATION XVIII, MABS 2017, 2018, 10798 : 211 - 227
  • [30] Large-Scale Simulation Tools for Transportation Planning and Traffic Operations Management
    Balakrishna, Ramachandran
    Morgan, Daniel
    Slavin, Howard
    Yang, Qi
    2011 14TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2011, : 230 - 235