期刊文献+

基于多智能体与元胞自动机的微观交通模拟方法 被引量:5

Research of multi-agent and cellular automata based microscopic traffic simulation
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摘要 针对在当前交通系统的研究中,传统微观交通模拟研究方法在模拟速度和模拟的精确性等方面体现出来的固有的局限性,在讨论了地理元胞机和多智能体用于微观交通模拟研究的可行性以及二者结合进行研究的优势和必要性的基础上构建了微观交通模拟模型.对模型产生的结果进行了分析,结果表明了模型有效地提高了模型运算效率和模拟真实性. There are inherent limitations in research of microscopic traffic simulation by using traditional approaches, such as simulation efficiency and accuracy. Based on the discussion of feasibility of using cellular automata and Multi-agent in research of microscopic traffic simulation, and the advantages of combining these new approaches, we construct the new simulation model, and analyze the simulation results, to prove the highly operational efficiency and simulation accuracy of the new model.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2004年第4期38-42,共5页 Journal of Dalian Maritime University
关键词 微观交通模拟 元胞自动机 交通系统 多智能体 速度 基础 地理 构建 优势 真实性 cellular automata microscopic traffic simulation multi-agent
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参考文献4

  • 1ROSSWOG S, WAGNER P,EISSFELDT N. Microscopic traffic simulation tools and their use for emission calculation[R]. In Proceedings of WAC 2000, 2000.
  • 2EISSFELDT N, WAGNER P. Effects of anticipatory driving in a traffic flow model[J]. European Physical Journal B,2003,33:121-129.
  • 3NURHAN C, KAI N, BRYAN R, et al. Large-scale multi-agent transportation simulations[J], Computer Physics Communications, 2002,147:559-564.
  • 4SUN Shaopeng, WANG Jiao, ZAO Depeng. Using GIS-OT for ocean transportation planning and management[R]. Proceedings of 2001 International Conference on Management Science & Engineering, 2001.136-139.

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