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微观车辆仿真模型分类对比研究 被引量:2

Study on the classification and comparison of microscopic car following simulation models
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摘要 车辆跟驰模型是微观交通流仿真的一个基本模型,它是构成许多重要研究领域的基石.把车辆跟驰模型分为基于交通工程的跟驰模型和基于交通心理学的跟驰模型以及基于二者结合观点的跟驰模型.从交通工程、交通心理学及二者相结合的角度对几个常见的车辆跟驰模型进行了比较研究,介绍了各车辆跟驰模型的建模原理以及它们各自的特点,重点阐述了它们在微观交通模拟中的应用. The car following model is a basic model for traffic simulation. It plays important role in many important research fields. In this paper, the car following model is classified into three kinds: the model based on traffic engineering, the model based on traffic psychology, and the model based on both traffic engineering and traffic psychology. From above point of view, several kinds of car following models are studied by comparison. The model establishing theory, the application in traffic simulation and the character of each model are introduced. The paper is expected to use for reference during the process of model selection or new model establishment for multichannel information amalgamation.
出处 《山东理工大学学报(自然科学版)》 CAS 2004年第6期11-14,共4页 Journal of Shandong University of Technology:Natural Science Edition
基金 国家自然科学基金资助项目(50378042)山东省社会科学规划研究项目(04CMZ08)山东理工大学博士科研基金项目
关键词 车辆跟驰模型 交通流仿真 微观交通模拟 交通工程 仿真模型 角度 对比研究 常见 心理学 构成 microscopic traffic simulation car following traffic engineering traffic psychology
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参考文献8

  • 1Zhang H M. Analyses of the stability and wave properties of a new continuum traffic theory[J ]. Transportation Research, 1999, 33B(6):399-415.
  • 2Willoughby Peter, Emmerson Paul. Network interaction-A review of existing modeling techniques [ J ]. Traffic Engineering + Control,1999, 40(2): 81-82.
  • 3Hans-Thomas Fritzsehe. A model for traffic simulation[J]. Traffic Engineering+ Control, 1994, 35(5): 317-321.
  • 4Mark Brackstone, Mike McDonald. Car-following: a historical review[J ]. Transportation Research, 1999, 2F(4): 181-196.
  • 5Shinya Kikuchj, Partha Chakroborty. Car-following model based on fuzzy inference systems[ R]. Transportation Research Record 1365.
  • 6Partha Chakroborty, Shinga Kikuchi. Evaluation of the General Motors based car-following models and a proposed fuzzy inference model[J]. Transportation Research, 1999, 7C(4): 209-235.
  • 7Dougherty M S, Kirby HR, Boyle R D. The use of neural networks to recognize and predict traffic congestion[J ]. Traffic Engineering +Control, 1993, 34(6): 311-314.
  • 8Corinne Ledoux. An urban traffic flow model integrating neural networks[ J ]. Transportation Research, 1997, 5C(5): 287-300.

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