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微观交通仿真车辆随机生成模型分析与设计
引用本文:邝先验,邹小洪,王晓燕.微观交通仿真车辆随机生成模型分析与设计[J].南方冶金学院学报,2006,27(3):20-23.
作者姓名:邝先验  邹小洪  王晓燕
作者单位:[1]江西理工大学机电工程学院,江西赣州341000 [2]江西理工大学财务处,江西赣州341000
摘    要:在计算机上产生与实际情况相符的交通流是交通仿真模拟中的最基本和首要的问题,首先给出了如何利用蒙特卡罗(MC)方法来近似地描述研究对象的概率分布的一般方法,并设计了高质量的伪随机数发生器,然后利用这一工具重点地研究如何得到交通系统中常见随机分布的交通生成模型算法并给出算法的程序实现,通过仿真实例,分析了在实际应用中应该注意的问题.

关 键 词:微观交通仿真  交通生成模型  MC方法  伪随机数  随机分布
文章编号:1007-1229(2006)03-0020-04
收稿时间:2006-01-11
修稿时间:2006年1月11日

The Analysis and Design of Stochastic Generation Car Model in Microscopic Traffic Simulation
KUANG Xian-yan,ZOU Xiao-hong,WANG Xiao-yan.The Analysis and Design of Stochastic Generation Car Model in Microscopic Traffic Simulation[J].Journal of Southern Institute of Metallurgy,2006,27(3):20-23.
Authors:KUANG Xian-yan  ZOU Xiao-hong  WANG Xiao-yan
Affiliation:Jiangxi University of Science and Technology, a. Faculty of Mechanical and Electronic Engineering, b. Finance Department, Ganzhou 341000, China
Abstract:It is the basic problem in the traffic simulation that how to generate traffic flow in computer according to reality . Firstly the paper presents how to simulate approximately the common method of probability distribution of the research objects with Monte-Carlo(MC), and designs a high quality number randomizer. Then using the simulation tool, the produce of the frequent stochastic distribution models on traffic system is mainly examined and the implementation of these arithmetic is presented. Finally, it analyzes some problem in the practice application through a real simulation instance.
Keywords:microscopic traffic simulation  traffic generation model  MC method  pseudo - random number  stochastic distribution
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